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to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
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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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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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to sustainability. Communicating the results in scientific publications and conference presentations Co-supervising PhD and MSc students working on the project Contributing to new research ideas and (co)-applying
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the University of Jyväskylä Regulations and language skills guidelines . The PhD degree required for the position must have been completed before the starting date. A trial period of six months will be used in
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within a Research Infrastructure? No Offer Description Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across
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implementation and will be expected to complete a PhD monograph or article-based PhD based on the empirical material produced, as well as participating in project communications, collaborating with partner
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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of the most livable countries in the world, with a high quality of life, safety, excellent education system, and competitive economy. Read more about living in Oulu Who are you? You must hold a PhD degree in
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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