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divided equally between research within the Digital Waters (DIWA) Flagship and teaching and programme development within the Space Technology and Environmental Remote Sensing degree programme. The
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serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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the COST Action InfoGUT project (https://infogut.eu/ ). • PI's UTU profile: https://www.utu.fi/en/people/matti-ruuskanen • PI's Google Scholar profile: https://scholar.google.com/citations?user=anXmb6IAAAAJ
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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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. Responsibilities: Design, develop, and implement state-of-the-art foundation health models and clinical reasoning algorithms. Collaborate closely with top-tier partner universities and clinical/industrial partners
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: Developing robust defense mechanisms against adversarial threats and verifiable secure ML solutions. Responsibilities Design, develop, and implement state-of-the-art, post-quantum secure GenAI protocols and
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on lymph node lymphatic endothelial cells, fibroblasts, and resident myeloid cells. Our long-term goal is to develop novel approaches for locally modulating immune responses within specific lymph nodes
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). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
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applied for after graduation in the next possible call (spring 2027/autumn 2027). Benefits We offer you responsible and interesting tasks and the opportunity to develop your professional skills in a