53 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" PhD positions in Switzerland
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- University of Basel
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- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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- Friedrich Miescher Institute for Biomedical Research
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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representation, legislative studies, corruption, political methodology or related topics. You collaborate on research and pedagogical projects and assist in academic administration to some degree. You will teach
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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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be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-operational-feasibil… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
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Website https://academicpositions.com/ad/university-of-basel/2026/phd-positionpre-doc-i… Requirements Research FieldEconomicsYears of Research Experience1 - 4 Research FieldPolitical sciencesYears
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(or as agreed) The newly-established “Quantum Opto-Electronics" research group of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is
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at the University of Basel, Switzerland (https://duw.unibas.ch/en/ecoevo/ ), is looking for a PhD student in the field of Conservation Genetics. New computational and analytical tools in population genetics allow
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transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
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culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal