183 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Switzerland
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unexplored. The next step is to convert these time-lapse images into accurate single-cell trajectories and subsequently into models of antibiotic responses, with direct relevance for drug development and
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Neuroanatomy, and using model systems relevant to human development or disease. You will also be expected to secure competitive research funding and publish high-quality papers in your field. Alongside your
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study is of highest priority. The mission concept study will finalize the required satellite architecture, conduct key technical trades, and finalize the overall mission development plan and
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. Empa is a research institution of the ETH Domain. For an applied research project, we are seeking a highly motivated Postdoc interested in the development of a hybrid AM manufacturing process for silicon
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collaboration with medical research communities in Basel and Zurich. The future Assistant Professor will bring unique, multidisciplinary expertise in computational immunology, contributing to the development
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generations to come. Join Roche, where every voice matters. The Position In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to
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vision with technical expertise in hardware and software development. We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones. For details
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 8 hours ago
We are seeking to hire an outstanding colleague with demonstrated potential for research leadership in international law, especially in the areas of international human rights law and international humanitarian law. Candidates must hold a doctoral degree in law or an equivalent academic...
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plenty of possibilities for personal and professional development. Fully funded four-year PhD position at Empa in Dübendorf, starting from September 2026. Joint supervision/research resources and
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demonstrated that the MoE Transformer architecture can significantly improve inference efficiency and model scalability. Developing and testing such an architecture will be crucial to GridFM's development. R3