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Field
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of metabolic dysfunction. What you will do This PhD project aims to study a novel lipid signaling pathway in adipocytes, cells specialized in lipid uptake, storage and metabolism, that play a central role in
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter, metamaterials, quantitative image analysis and programming
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This work is part of the PEPR Math-Vives
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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led by Dr. Danick Briand from the Soft Transducers Laboratory at the EPFL (Swiss Federal Institute of Technology) has PhD students openings in the fields of wearable biosensors for saliva analysis
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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of Biotechnology at the University of Helsinki. We study structural mechanisms and biological functions of mechanosensitive membrane microdomains. By using a combination of structural biology, biochemistry, in vitro
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trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first