24 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" PhD positions at University of Basel
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senior members in the lab, and at the same time to play an active role in shaping and creating inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en
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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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. The job talks and interviews are scheduled for February 2026. Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-positionpre-doc-i… Requirements Research
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environment. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal
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the project, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https
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, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https://www.unibas.ch/en
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. Fabian Baumann (fabian.baumann@unibas.ch ). You can also find out more about us at https://dg.philhist.unibas.ch/de/ . Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/phd
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Baumann (fabian.baumann@unibas.ch ). You can also find out more about us at https://dg.philhist.unibas.ch/de/ . Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/phd-position
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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
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework