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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 
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This is a superlist of research seminars in Cambridge open to all interested researchers. Weekly extracts of this list (plus additional talks not yet on talks.cam) are emailed to a distribution list of over 200 Cambridge researchers by Research Services Division. To join the list click here https://lists.cam.ac.uk/mailman/listinfo/biophy-cure For more information see http://www.cure.group.cam.ac.uk or email drs45[at]rsd.cam.ac.uk
Updated: 34 min 45 sec ago

Wed 15 Oct 14:30: Title to be confirmed

Thu, 17/04/2025 - 09:02
Title to be confirmed

Abstract not available

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Wed 30 Apr 13:30: Title to be confirmed

Thu, 17/04/2025 - 07:01
Title to be confirmed

Abstract not available

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Wed 21 May 11:00: Is recycling just a load of rubbish?

Wed, 16/04/2025 - 14:48
Is recycling just a load of rubbish?

Good citizens recycle their waste (when they can work out which bin to put what in) but often wonder what really happens to it. How much does end up being turned into new material or products? Do our processes make environmental sense? Why do the instructions for what to do with our waste vary so much between different locations? We will explore some of these questions, using examples for different materials including plastics and metals, and look at how things may change for the future. Part of the answer is that the problems are genuinely complex and the simple solutions have unintended consequences. Stewardship of our materials resources is a major consideration, but we need to look at whole systems around the complete lifecycle of products to find robust and responsible solutions.

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Tue 06 May 14:30: TBC

Wed, 16/04/2025 - 14:42
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TBC

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Tue 13 May 14:30: TBC

Wed, 16/04/2025 - 14:42
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Tue 27 May 14:30: TBC

Wed, 16/04/2025 - 14:42
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Tue 20 May 14:30: TBC

Wed, 16/04/2025 - 14:41
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Tue 03 Jun 14:30: TBC

Wed, 16/04/2025 - 14:41
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Tue 10 Jun 14:30: TBC

Wed, 16/04/2025 - 14:41
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Wed 30 Apr 16:30: Statistics Clinic Easter 2025 I

Wed, 16/04/2025 - 14:21
Statistics Clinic Easter 2025 I

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.

If you would like to participate, please sign up as we will not be able to offer a consultation otherwise. Please sign up through the following link: https://forms.gle/qMRt7qf7C8mCASNWA. Sign-up is possible from April 24 midday (12pm) until April 28 midday or until we reach full capacity, whichever is earlier. If you successfully signed up, we will confirm your appointment by April 30 midday.

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Wed 16 Jul 16:00: Title to be confirmed

Wed, 16/04/2025 - 11:22
Title to be confirmed

Abstract not available

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Thu 01 May 13:00: Is There Hope for the Climate?

Wed, 16/04/2025 - 10:15
Is There Hope for the Climate?

Abstract Stay tuned!

Bio

Srinivasan Keshav is the Robert Sansom Professor of Computer Science at the University of Cambridge, focusing on the intersection of computer science and sustainability. He earned his PhD from UC Berkeley and has held roles at Bell Labs, Cornell University, and the University of Waterloo. A Fellow of the Royal Society of Canada, ACM , and IEEE , Keshav is recognized for his contributions to networking and sustainability. His research includes innovations in energy systems, carbon footprint reduction, and forest conservation using remote sensing. Keshav emphasizes practical applications of computer science to global challenges, fostering collaborative solutions in smart grids and biodiversity conservation.

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Wed 14 May 16:00: Spacetime Singularities and Black Holes

Wed, 16/04/2025 - 08:40
Spacetime Singularities and Black Holes

After a brief introduction to Einstein’s theory of general relativity and its most profound prediction of black holes, I will focus on spacetime singularities, i.e., regions where general relativity breaks down and must be replaced by a quantum theory of gravity.  I first discuss singularities inside black holes. This is the usual case and is an old story, but there have been some recent developments. I will next describe some new results which show that some black holes have singularities on their surface. Finally, I will discuss the possibility of singularities outside black holes.

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Fri 25 Apr 11:45: Cambridge MedAI Seminar - April 2025

Tue, 15/04/2025 - 14:26
Cambridge MedAI Seminar - April 2025

Sign up on Eventbrite: https://medai_april2025.eventbrite.co.uk

Join us for the Cambridge AI in Medicine Seminar Series, hosted by the Cancer Research UK Cambridge Centre and the Department of Radiology at Addenbrooke’s. This series brings together leading experts to explore cutting-edge AI applications in healthcare—from disease diagnosis to drug discovery. It’s a unique opportunity for researchers, practitioners, and students to stay at the forefront of AI innovations and engage in discussions shaping the future of AI in healthcare.

This month’s seminar will be held on Friday 25 April 2025, 12-1pm at the Jeffrey Cheah Biomedical Centre (Main Lecture Theatre), University of Cambridge and streamed online via Zoom. A light lunch from Aromi will be served from 11:45. The event will feature the following talks:

Unlocking Hidden Potential: Federated Machine Learning on Blood Count Data Enables Accurate Iron Deficiency Detection in Blood Donors – Daniel Kreuter, PhD Student, Department of Applied Mathematics and Theoretical Physics, University of Cambridge

Daniel is a PhD student in the BloodCounts! project, focusing on building algorithms for advanced full blood count analysis to extract additional clinical information from the world’s most common medical test. His research aims to improve healthcare decision-making through more efficient use of existing data. He is in his final year and is supervised by Prof Carola-Bibiane Schönlieb from the Applied Mathematics department and Prof Willem Ouwehand from the department of Haematology. Before coming to Cambridge, Daniel studied physics at the Technische Universität Darmstadt in Germany. His Master’s thesis project focused on replacing costly laser-plasma interaction simulations with a much faster neural network model, reducing computation time from 4 hours to a few milliseconds.

Abstract: The full blood count is the world’s most common medical laboratory test, with 3.6 billion tests performed annually worldwide. Despite this ubiquity, the rich single-cell flow cytometry data generated by haematology analysers to calculate standard parameters like haemoglobin and cell counts is routinely discarded. Our research demonstrates how AI models can extract this hidden value, transforming a routine test into a powerful screening tool for iron deficiency in blood donors—with no additional testing required. Iron deficiency remains a major challenge in blood donation programs, affecting donor health and donation efficiency. By applying advanced machine learning to previously unused data dimensions within standard blood counts, we achieve significantly improved detection accuracy compared to conventional parameters. Furthermore, we show that federated learning enables this approach to scale and generalise across multiple centres while preserving data privacy. This work exemplifies how AI can enhance existing medical infrastructure, extracting new clinical value from already-collected data to improve donor health.

Reconstructing extremely low dose CT images using machine learning – Dr Ander Biguri, Senior Research Associate, Department of Applied Mathematics and Theoretical Physics, University of Cambridge

Ander Biguri received his Ph.D. in Electrical Engineering from the University of Bath in 2018, for his work on 4D Computed Tomography for radiotherapy. Since, he has held research positions at University of Southampton, University College London and lastly University of Cambridge. His research lies in the intersection of inverse problems and their applications in real-case scenarios, such as Positron Emission Tomography or various computed tomography modalities. He is best known for the development of the TIGRE toolbox for applied tomography applications.

Abstract: ML models can be used to denoise medical images, however when doing this we don’t use information from the measurements. You can instead add machine learning to the image formation/reconstruction process, ensuring high quality images that still match the measured data from medical scanners. In this talk we will briefly see different ways of adding machine learning to these mathematical processes and discuss the challenges still needed to be tackled to make the application of such methods a clinical reality.

This is a hybrid event so you can also join via Zoom:

https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09

Meeting ID: 990 5046 7573 and Passcode: 617729

We look forward to your participation! If you are interested in getting involved and presenting your work, please email Ines Machado at im549@cam.ac.uk

For more information about this seminar series, see: https://www.integratedcancermedicine.org/research/cambridge-medai-seminar-series/

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Mon 03 Nov 11:00: LMB Seminar - Title TBC

Tue, 15/04/2025 - 11:45
LMB Seminar - Title TBC

Abstract not available

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Mon 19 May 11:00: LMB Seminar - Blueprints of Life: Understanding the Sex Chromosomes

Tue, 15/04/2025 - 11:43
LMB Seminar - Blueprints of Life: Understanding the Sex Chromosomes

Sex chromosomes represent the only chromosome pair that differ between males and females, and as such are responsible for the myriad sexual dimorphisms observed in mammals. However, relative to the rest of the genome, their biology remains under explored. In this talk, I will describe how the sex chromosomes appeared during mammalian evolution, the mechanisms by which they regulate their most celebrated role in germline development, and their contribution to male-female differences in disease.

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Mon 28 Apr 19:30: Malaria Mosquito Genomics Across Africa

Tue, 15/04/2025 - 10:29
Malaria Mosquito Genomics Across Africa

Malaria is a preventable treatable infectious disease but still it kills up to 600,000 people each year, primarily children under the age of five. The disease is caused by a single celled parasitic organism that is only transmitted between humans by Anopheles mosquitoes. If the mosquitoes that transmit the parasite were eliminated or prevented from transmitting, malaria would end. Gaining a deeper understanding of Anopheles malaria mosquitoes is an especially important undertaking in Africa, where the vast majority of malaria deaths occur and where there are many species contributing to the disease burden. Among these, four are considered major malaria vectors, probably accounting for more than 95% of transmission. This talk will present several different genomic approaches we are taking to thoroughly characterise Anopheles mosquitoes. These include amplicon panels to understand mosquito species diversity and distributions, short read sequencing to glean a comprehensive understanding of population structure and selection, and long read sequencing to peek into rapidly diverging regions of the genome that short reads cannot offer resolution for. This talk will discuss what we have learned to date and how this contributes to malaria control.

More details here.

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Mon 12 May 19:30: Bioelectronic Medicine

Tue, 15/04/2025 - 10:28
Bioelectronic Medicine

Neurological conditions affect one in six people, imposing significant health, economic and societal burden. Bioelectronic medicine aims to restore or replace neurological function with the help of implantable electronic devices. Unfortunately, significant technological limitations prohibit these devices from reaching patients at scale, as implants are bulky, require invasive implantation procedures, elicit a pronounced foreign body response, and show poor treatment specificity and off-target effects. Over the past decade, novel materials and fabrication methods inspired from the microelectronics industry have been shown to overcome these limitations. Recent literature provides powerful demonstrations of thin film implants that are miniaturised, ultra-conformal, stretchable, multiplexed, integrated with different sensors and actuators, bioresorbable, and minimally invasive. This talk discuss the state-of-the-art of these new technologies and the barriers than need to be overcome to reach patients at scale.

More details here.

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Latest news

We are hiring!

4 January 2021

We are seeking to hire a research assistant to work on carbon nanotube based microdevices. More information is available here: www.jobs.cam.ac.uk/job/28202/

We are Hiring!

4 January 2021

We are seeking to hire a postdoc researcher to work on the structuring of Li-ion battery electrodes. More information is available here: www.jobs.cam.ac.uk/job/28197/