98 computational-science "https:" "https:" "https:" "https:" "Inria" Postdoctoral positions at University of Copenhagen
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pharmaceutical data science education with a focus on Computational Writing. The 2-year position involves educational research in an emerging field that synthesises expertise in pharmaceutical
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palaeoproteomics, proteomics, bioinformatics, computational biology, archaeological science or a closely related field. Experience with computational analysis and interpretation of LC-MS/MS proteomics
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and computational proteomics as well as teaching. The post may also include the performance of other duties. Further information on the Department is linked at https://globe.ku.dk/. Inquiries about the
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the front of the field. Must-have: PhD in computational chemistry, structural biology, computer science, or a related field Strong publication record and demonstrated ability to independently design
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, computational neuroscience, cognitive modelling, biomedical engineering, sports science with a focus on behavioural neuroscience, or similar. The candidates are expected to have strong skills in cognitive
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We are looking for a highly motivated and dynamic computational postdoc for a 3-year position to join the Lund Group. Our research Our team aims to understand how ribosome specialization leads to the
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The department of computer science (DIKU) invites applicants for a 24 month postdoctoral fellowship in stochastic models of morphology evolution. The postdoc will perform research in relation to the
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Department of Food Science, University of Copenhagen, is recognized for excellence in food research, food science education, and industry collaboration. It covers all disciplines of food science from
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following competences and experience: You have a PhD degree in social science, economics, epidemiology, data science, complexity science, computational science, or other related sciences. You have
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: computational ancient metabolomics and natural products, carbohydrate-active enzymes and carbohydrate metabolism, and protein language models for ancient metagenomics. Our research AEGIS is a pioneering