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at the Swedish School of Social Science are Swedish and English. When assessing applicants’ qualifications, attention will be paid to the quality and feasibility of the applicant’s research plan and its
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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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plan and research proposal. For the doctoral researcher’s position, the appointee must enroll as a PhD student at the University of Helsinki. The appointee should either already have the right to pursue
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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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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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) or reactive transport simulation codes (e.g., OpenFOAM, StarCCM+, PFlotran, TOUGHREACT, PHT3D etc.). Good programming skills in C/C++, Fortran, or Python. Knowledge and experience with HPCs. The work will be
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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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their impact on gene function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a
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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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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