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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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skills to collaborate across disciplines. Must haves for PhD (all tracks): A master's degree and outstanding academic record from a top university in Materials Science, Mechanical Engineering, Electrical
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skills to collaborate across disciplines. Must haves for PhD (all tracks): A master's degree and outstanding academic record from a top university in Materials Science, Mechanical Engineering, Electrical
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Computational biology or Life Cycle Assesment Results-oriented and cooperative personality Background in computational biology,bioinformatics, life cycle assessment, hazard assessment or a related field Strong
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hematopoiesis and tissue engineering, while cooperating with a PhD student working on the same program. The project aims at engineering organotypic 3D human bone marrow tissues and apply them as grafts in vivo
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's
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having a high degree of independence. Your profile A PhD degree in Civil Engineering, Materials Science, Chemistry, or a related field, as well as strong management and communication skills are required
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master/bachelor students Teaching assistant for the robotic materials class Profile Must haves for postdocs (all tracks): PhD degree in Materials Science, Mechanical Engineering, Electrical Engineering or
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: extremal graph theory, Ramsey theory, probabilistic combinatorics. • Candidates should have (or be near completion of) a PhD in mathematics. • Candidates should have a strong research record in Combinatorics
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30 Sep 2025 Job Information Organisation/Company ETH Zürich Research Field Agricultural sciences » Soil science Chemistry » Inorganic chemistry Environmental science » Earth science Researcher