The objective of the PhD project is to develop, fabricate and study advanced nanostructured surfaces that can be used to probe how cells respond to mechanical inputs. The shape and structure of the cell nucleus are vital indicators of cancer and are critical for diagnostics and treatment development.

Yet, existing tools for inducing controlled nuclear deformations and measuring cell and nuclear responses are inadequate, leaving life science researchers without sufficient means to advance their understanding in these areas. The position will allow the candidate to become expert in micro- and nanotechnology for biomedical research.

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The central aim of the project is to obtain a better understanding of the internal thermodynamical state of batteries using fibre optic-based sensors, as combined with in operando X-ray computed tomography (CT).

The research work will involve performing innovative experiments combined with data analysis, computer programming, and scientific publishing. Sophisticated analysis and modelling of large datasets, also using statistical and machine learning (artificial intelligence) methods, will be important topics. Emphasis is put on correlating 4-dimensional (3D + time) microscopy results with both the electrical performance of the battery under operation and with signals from embedded fibre optical sensors and infrared temperature measurements.

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In the COMET research group, we are seeking radical breakthroughs in spin-based device technologies. One of our research visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing in the most complex supercomputer. We are currently looking for a PhD candidate to explore 2D artificial spin systems and explore the case for such systems to be harnessed for data processing.

Read more about the position here.