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SD-26086 POSTDOCTORAL RESEARCHER IN THE PHYSICAL VAPOR DEPOSITION OF ELECTROCATALYST FOR PHOTOANO...
Fixed term contract | Hautcharage | up to 18 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and
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with experimentalists to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers
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facilities and interdisciplinary collaborations within the Ted Rogers Centre for Heart Research, and potential involvement in entrepreneurship and technology translation through the ECHO Discovery Lab (https
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our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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We are looking for a highly motivated postdoctoral researcher to join an interdisciplinary research project on enzymatic PFAS degradation at the Department of Biological & Chemical Engineering of
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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.), Physics I (particle, nuclear, astrophysics, etc.), Physics II ( condensed matter, etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology, microbiology, imaging
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https