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strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high-throughput data analysis is considered a
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to therapeutic validation and publication. About You You will already or shortly hold a PhD in cancer/molecular biology or a related discipline. Substantial hands-on experience in mammalian cell culture and
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
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for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit’s broader portfolio
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, and additional expertise in mechanical testing and materials characterization will be considered a strong advantage. Required Qualifications PhD in Materials Science, Mechanical Engineering, Additive
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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need to have a PhD in marketing, consumer behaviour, psychology, behavioural economics, environmental psychology, or another relevant field. Demonstrated experience designing, fielding and analysing
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scientist who is excited to address fundamental questions in pediatric brain tumor biology. Together with the second postdoctoral researcher you will spearhead this project. You should have: PhD in (cancer