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in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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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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to the climate crisis. We expect the successful candidate to have: completed a PhD in any area related to climate democracy, broadly defined, including humanities, social sciences, and/or natural sciences
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, conservation biology, biology, environmental sciences, or another relevant field Strong quantitative and analytical skills, including experience handling and analyzing ecological or environmental data (in R
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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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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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. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways
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complete CV, including PhD thesis title, date of defense and link to the online version of the thesis (if exists), previous and current positions, experience in supervision and mentoring, contact information
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The Swedish School of Social Sciences of the University of Helsinki invites applications for the position of DOCTORAL RESEARCHER IN THE SOCIAL SCIENCES for a fixed term period of 3,5 years, starting