324 professor-computer-science "https:" "https:" "https:" Postdoctoral research jobs at Nature Careers
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, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline Creative, thoughtful, and a communicative collaborator Familiarity with
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degree in Electrical Engineering, Telecommunications Engineering, Computer Science, Applied Physics, or a closely related field Strong background in communication systems, signal processing, and applied
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University
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or CO2 through thermal heterogeneous catalysis. For example, have we recently identified a new class of promotion based on spin quenching on Cobalt and Nickel doing surface science experiment
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Job Advertisement Job-ID 03/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Professor Pernille Klarskov Hansen, klarskov@ece.au.dk , +4593531158, Department of Electrical and Computer Engineering Deadline Applications must be received no later than January 31st 2026. Application
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced