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The University of Basel invites applications for a Professorship in Deep Learning to join the Department of Mathematics and Computer Science (DMI). This posi- tion is a key part of the University's
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agreed). We seek candidates who will develop an internationally recognized research program at the interface of neuroscience, neurotechnology, neurocomputation and artificial intelligence. Candidates from
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The successful candidate will have an outstanding academic track record and a strategic vision to develop an ambitious and innovative research program. The ideal profile is that of a researcher able to propose
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successful candidate will be expected to initiate and develop an independent and creative research program, as well as to participate in undergraduate and graduate teaching. Internationally competitive
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, observational and laboratory techniques, comparative planetology or the involvement, development and leadership in space missions. The successful candidate's research program will constitute a defining part of
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. The assis- tant professor will lead the newly established Center for Engineered Immunology (CEI), which is part of the University of Zurich's TRANSFORM program. The position includes a 50% clinical
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ecology. The successful candidate will develop an internationally recognised research program on understanding plant popula-tions. Potential topics include, but are not limited to, evolutionary ecology
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preparation for multi-omics analyses (proteomics, metabolomics, single-cell omics). • Collaborate with computational team members for systems-level data integration. • Contribute to manuscripts, grant
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building...
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molecular processes occurring within and between cells to explore molecular mechanisms across scales in biology. We encourage applicants who combine experimental and theoretical/computational approaches