54 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at University of Basel in Switzerland
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tutoring to hands-on teaching in state-of-the art technology, and joint summer schools. More information: www.nccr-antiresist.ch Application / Contact Please apply online by 15 January 2026: https
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. To reach this goal, AntiResist has assembled a panel of experts in the fields of clinical research, infection biology, engineering, chemistry, computation, and pharmacology. Biomedicine at the University
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Clinical Practice (GCP) or willingness to obtain further training High level of self-motivation and a very independent, structured working style Very good command of English and at least basic knowledge of
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environment. n line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and
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20 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Other Engineering » Other Medical sciences » Other Technology
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research group Plant Ecology and Evolution (https://duw.unibas.ch/en/ecoevo
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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, advanced high-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative
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15 Jan 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Engineering » Biomedical
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover