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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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is a full-time position, and the selected candidate will join the Population Neuroscience Group. This Group, co-directed by Drs. Pausova and Paus, works on genetic and environmental factors shaping
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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resilience. This task will involve integrating demographic models (e.g., structured population like matrix population models and/or integral projection models) with community stability analyses using, among
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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; programming skills; mathematical modeling capabilities; publications in high-impact journals (IF > 3); grant writing experience. Specific Requirements • Doctoral degree in Biology, Microbiology, Biochemistry
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experimental and modelling approaches to explore mitochondrial behaviour. This is one of two PhD positions in “MitoPhyto” hosted at the Department of Mathematics, where this one has a biological focus and the
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Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates