49 fully-funded-phd-program-computer-science-eth PhD positions at University of Basel
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methods and protocols A dynamic research group in a state-of-the-art-equipped environment Dedicated supervision and career mentoring A fully funded PhD position Application / Contact Please use the link
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Your position A fully funded PhD position is available in the Computational Pharmacy group at the University of Basel. The successful candidate will contribute to ongoing research on the development
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) Country Switzerland Application Deadline 10 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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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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in English are required. A fully funded, four-year, full-time (100%) PhD position at the international and interdisciplinary Department of Environmental Sciences at the University of Basel in
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Switzerland Application Deadline 15 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related
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First Stage Researcher (R1) Country Switzerland Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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The Department of Environmental Sciences at the University of Basel invites applicants to apply for a PhD position in evolutionary biology of microalgae as part of the SNSF Ambizione project: "Key
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department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future! A PhD position is available in the Experimental Rheumatology laboratory headed by Prof. Diego
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories