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meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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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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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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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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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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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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, or medicinal and analytical chemistry. These positions present exceptional opportunities to partner with an outstanding clinical urology program in a new institute dedicated to rapidly translating basic
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world. The postdoc program is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, one of Europe’s leading centres for basic biomedical research – with clinical
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning