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a doctoral degree and are expected to idearlly have at least two years of relevant experience in research or practice post-graduation. The degree should be in a discipline aligned with at least one of
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to a Master's degree within biomedicine, including at least some aspects of engineering and mathematics Experience and interest in research within the intersection between biomedicine and mathematical
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PhD Thesis based on ABIS. The main areas have so far been studies on the development of Type 1 diabetes, but also studies on celiac disease, JIA, IBD, autism, obesity, allergy and recently also
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are used to study neurochemical activity at individual neuronal synapses and to develop advanced synaptic model systems. Qualifications Required: A PhD degree (awarded no more than three years before
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-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoctor that wants to use and
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] Subject Areas: Machine Learning Complex Systems Theoretical Physics / Statistical physics Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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interactions . Project Description Our cognitive abilities, such as memory, decline with aging, but the degree of decline varies between individuals. This project will study blood markers for cognitive aging
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are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples
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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life