83 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "CNRS " PhD positions in Switzerland
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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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The Department of History at the University of Basel, Switzerland, invites applications for a invite applications for a fully funded, four-year (1 plus 3) PhD position in a history project led by Dr
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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, the Department of Biomedicine is the largest department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future! The Metastasis Biology group led by Dr. Magdalena
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transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills
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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! The Metastasis Biology group led by Dr. Magdalena Sznurkowska seeks a motivated PhD student
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functional and morphological innovations in a rapid evolutionary radiation of diatoms in African Lake Tanganyika” awarded to Dr. Elena Jovanovska. This project will be conducted in close collaboration with
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the supervision of Dr. Paula Navascués. The PhD Student will be enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will
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Science, Computer Science, or a related disciplines. The candidates should have: A solid theoretical background in their field Strong programming skills and experience with numerical methods. Proven
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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