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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer science
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, with the possibility of extension. Profile A PhD in comparative genomics or transposon biology, preferably of fungal species or other Eukaryotes Evidence of research excellence through peer-reviewed
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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year position is based at the SLF inDavos and will be supervised by Ruzica Dadic. If you have a PhD in environmental science, geoscience, engineering, physics, or a related field, you are interested in
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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Civil engineering Mathematics » Statistics Sociology » Urban sociology Technology
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strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
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therapies for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description Postdoctoral projects will combine catalyst engineering, computational simulation
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highly stimulating research environment at the Brain Mind Institute (http://bmi.epfl.ch/) of the School of Life Sciences at EPFL. EPFL offers a dynamic and multicultural workplace within a
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connectivity Profile PhD in neuroscience, biology, bioengineering, or a related field Strong background in cell culture, including primary neurons or iPSC-derived cells Experience with electrophysiology (e.g
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output in high-level peer-reviewed scientific journals. Your profile You must hold a PhD in Physics, Chemistry, Material Science, Computational Science, or similar. A high level of motivation to work in