342 computer-science-intern "https:" "https:" "https:" "https:" "Dublin City University" Postdoctoral research jobs at Nature Careers
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, particularly in the context of health inequalities. Required Qualifications: A Ph.D. in Anthropology, Microbiology, Epidemiology, Public Health, Biostatistics, Computational Biology, or a related field at the
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have completed a Master’s degree and hold a PhD in a field relevant to forest sciences. Applicants should be eligible to apply for an ERC Starting Grant or the Emmy Noether Programme after two years
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The Institute of Clinical Chemistry and Clinical Pharmacology at the Faculty of Medicine of the Rheinische Friedrich Wilhelms-University Bonn invites applications for a Postdoctoral fellow (m/f/d
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy techniques Experience in cryo-EM structural biology of nucleic acids. Who we
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The Department of Psychology and Biobehavioral Sciences at St. Jude Children's Research Hospital is seeking outstanding candidates for postdoctoral research fellowships. These fellowships include
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum