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simulations. The research group consists of one professor, three senior researchers, four postdoctoral researchers and about eight doctoral researchers, and has a wide national and international network
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to sustainability. Communicating the results in scientific publications and conference presentations Co-supervising PhD and MSc students working on the project Contributing to new research ideas and (co)-applying
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of a big organization. Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us . Our Buddy Programme and Spouse Network support you and close
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examines transformations in humanitarian systems amid the global withdrawal of international aid, focusing on humanitarian contexts in Kenya and transnational diaspora networks in Canada. ABOUT THE PROJECT
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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to complete an article-based PhD based on the empirical material produced, as well as to participating in project communications, organising project events and other tasks relating to the project. Duties will
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pretraining of clinical foundation models and clinical alignment techniques. Co-supervise PhD and Master's students in the group, and assist in teaching activities. Lead project deliverables and actively
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addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1
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Foundation Health Model. As a PhD candidate, you will conduct deep-dive research into training pipelines and reasoning techniques for clinical foundation models. You will join an elite, interdisciplinary team