20 programming-"Multiple"-"Duke-University"-"O.P"-"FEMTO-ST-institute" "U.S" Postdoctoral positions in Luxembourg
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a
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The post-doctoral researcher will construct and use bespoke experimental apparatuses for inducing macroscopically patterned flows, including multiple vortices, of LCE precursors. Specifically
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Deadline 20 Aug 2026 - 03:08 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Luxembourg Application Deadline 26 Aug 2026 - 10:42 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Application Deadline 26 Aug 2026 - 10:48 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing
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, systems development experience is an asset. Hard Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in
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programming, and satellite communication, inspiring young generations to be interested in related topics. Design phased array design using sparse lattices, Design of Reflective Intelligent surfaces, Design of
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a