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community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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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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-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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computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum
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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