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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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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science
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knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 19,000 people in total
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Methods for Virtual Labs: Researching and constructing interactive agentic frameworks and virtual labs for expert human-in-the-loop auditing and alignment. Responsibilities: Lead research in large-scale
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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
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-based products (e.g. oatmeal, tofu, protein concentrate preparations). The research is led by Matti Ruuskanen, PhD, Docent in Microbiology, who works as a University Lecturer in the Food Sciences Unit
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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end date may change, in which case the position ends accordingly. Job description This position is integrated into a high-impact Horizon Europe research project. As a PhD candidate, you will conduct
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campus. Who we are looking for Requirements Applicants must have: A PhD in Immunology, Cell Biology, Biochemistry, Biology, Medicine, Biomedical Sciences, or another relevant life science field Significant