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EPFL - Ecole Polytechnique Fédérale de Lausanne, Mathematics Position ID: EPFL_ECOM-POSTDOC [#27305] Position Title: Position Type: Postdoctoral Position Location: Lausanne, Vaud 1015, Switzerland
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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ETH Zurich, Institute for Mathematical Research Position ID: 2549-HWI [#27223] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Subject Area
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4 Oct 2025 Job Information Organisation/Company Empa Research Field Chemistry » Inorganic chemistry Chemistry » Other Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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services will not be considered. Further information about the Earth and Planetary Science department can be found on our website . Questions regarding the position should be directed to Prof. Cindy De Jonge
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EPFL FSB, MATHGEOM-GE Position ID: 1127-POSTDOCTN [#26926] Position Title: Position Type: Postdoctoral Position Location: Lausanne, Vaud 1015, Switzerland [map ] Subject Area: Theory of automorphic
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of scientific publications and presentations at scientific conferences Collaborate closely with a team of chemists, materials scientists, and analytical chemists Your profile PhD in chemistry (or a closely
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academic record Copy of PhD degree Name and contact information of two references Evaluation of applications will start immediately, and will continue until a suitable candidate has been identified. Please
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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after 2-3 weeks following the submission deadline. For further information about the Energy and Process Systems Engineering (EPSE) Group, please visit our website . Questions regarding the position should