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resistance mechanisms and dynamics in ovarian cancer. Please see the website link to our university to see more details about the position and applying (https://jobs.helsinki.fi/job/Helsinki-Postdoctoral
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analytical skills and experience on omics data, and basic understanding of biology to study therapy resistance mechanisms and dynamics in ovarian cancer. Our research focuses on understanding and manipulating
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, behavioural and societal mechanisms. About the job We are looking for an experienced epidemiologist / health services researcher to join a multi-disciplinary research group of experts working in life course
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background and PhD degree in medical science, biology, neuroscience, neuroimmunology, computational science, or related fields, and skills for working with empirical imaging and biological data. Experience
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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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, Measuring techniques Prior knowledge and good understanding of mechanics of materials Some programming experience, and interest to develop material testing systems on micro-scale and numerically analyze
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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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, Computer Science, or a closely related field. A strong track record of publications in top-tier AI/NLP conferences. Advanced experience in training large language models or handling multi-modal clinical data. Strong
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closely related quantitative field. A solid foundation in Computer Science with a deep understanding of Artificial Intelligence and related algorithms. A strong interest in or prior experience with medical
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with