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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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degree in computer science or a related technical field or proven skills of applying machine learning models in conservation science or other environmental sciences. Be proficient in programming languages
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. The ideal candidate is collaborative and creative, has strong programming skills dedicated to the analysis of large-scale genomics data, and has a strong publication record. Experience with analysis
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, cancer genomics, or a related field. Applicants with a background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in deep learning Proficiency in programming
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degree in conservation science, ecology, geoinformatics, mathematics, or other relevant fields. Applicants should have experience in statistics, programming languages and tools, primarily in Python and/or
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contribute to teaching in the master’s program in demography, or thesis supervision (up to 5% annually) and other research activities of the Institute. QUALIFICATIONS The appointees to the position must hold a
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treatments of many diseases that stem from misregulated gene transcription programs. More information about the lab, including the latest research and news, can be found here: https://www.helsinki.fi/en
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Finland Application Deadline 17 Mar 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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students. The Department of Physics (Faculty of Science ) is a large and multidisciplinary department that offers the most varied university programme in the physical sciences in Finland. At the beginning
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Sini Laakso’s lab Autoimmune Neurology at the Translational Immunology Research Program at University of Helsinki, Faculty of Medicine invites applications for the position of POSTDOCTORAL