43 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P"-"BioData" "Prof" positions at ETH Zurich
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100%, Zurich, fixed-term The Plant Ecological Genetics (PEG) group at the Institute of Integrative Biology, led by Prof. Alex Widmer, studies plant ecology, genetics and evolution to investigate
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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. This position is offered for 36 months, with the earliest starting date as agreed upon recruitment. The primary academic advisor is PD. Dr Michele Magno (ETH Zurich, D-ITET), under close collaboration with Prof
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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. Dirk-Jan van Manen, and Prof. Johan Robertsson. Profile We are looking for a highly motivated candidate with: A Master’s degree in geophysics, physics, applied mathematics, or a closely related field
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human-computer interaction and educational technology. The group is led by Prof April Wang and generally focuses on the design of future programming tools for learners and practitioners. We
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is Prof. Eleni Chatzi (ETH Zurich, D-BAUG), under close collaboration with Dr. Michele Magno (ETH Zurich, D-ITET, supervisor of A-DC2, A-DC3), and additional mentorship provided during secondments
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at the forefront of computer science. Successful candidates should establish and lead a strong research program. The new professor will be expected to supervise doctoral students and teach both undergraduate and
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology