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stronger theory/computation leanings and one with a strong background in molecular biology and experience with metabolomic data. What we offer 3-year Postdoctoral contract State-of-the-art platforms
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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health. HT is composed of five Centres: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centres work together to enable interdisciplinary research and to
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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is highly desirable Enthusiasm for collaborative, interdisciplinary research at the interface of experimental and computational biology Why Join Us? Work in a dynamic, supportive, and productive lab
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
A postdoctoral position (2 year) is open at Aarhus University, Department of Environmental Science, Section for Environmental Chemistry and Toxicology ( www.envs.au.dk ). The position is in
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment