36 evolution "https:" "https:" "https:" "https:" "https:" scholarships in Switzerland
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Research (NCCR) AntiResist is a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro
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) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and equitable urban energy systems. Our work combines technology and policy with systems thinking and
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. Besides benefitting from interactions with local- and international scientists, you are expected to present your results at international conferences and workshops. Where to apply Website https
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Footprint (PEF) regulations at European level, including the development of PEF Category Rules (PEFCR) for space. About the host organization Since its establishment in 1907, the Physikalisch-Meteorologisches
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. The group Multiomics for Healthcare materials at Empa, St. Gallen generates and integrates multi-modal biomedical datasets with the aim to inform development of new sensors, support nanoparticle-based
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group of Plant Ecology and Evolution, Department of Environmental Sciences
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(or as agreed) The newly-established “Quantum Opto-Electronics" research group of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is
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and/or Stata Didactic competence and enthusiasm for teaching Willingness to collaborate with colleagues, and to contribute to the academic activities and further development of the Political Science
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activities and further development of the Political Science group Willingness to contribute to the university's self-administration Strong command of German and English This position is part of a vibrant
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a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient