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. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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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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-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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). 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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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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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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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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subject ranking) and is currently investing heavily in life science research (see https://www.helsinki.fi/en/helsinki-institute-of-life-science) . The research team currently consists of 4 post docs, 4 PhD
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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