37 programming "https:" "https:" "https:" "https:" "OSU" Postdoctoral research jobs in Switzerland
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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drastically reduces power and latency. We are looking for a Postdoctoral Researcher / Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that
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programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely related fields
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basic research projects i) investigating of the role of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://data.snf.ch/grants/grant
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programming Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The
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highly motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL ( https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor
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professorial and academic positions. https://www.epfl.ch/labs/entc/ Education You will work closely with Dr. Davide Bavato, head of EPFL’s recently established Entrepreneurship Education Hub. The Hub is
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appointment, and not more than three years before. Applications should demonstrate dedication to and strong promise in research. Keywords: postdoc Application Instructions https://math.ethz.ch/fim