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, bioinformatics, computer science, biostatistics, cancer genomics, or related fields. Candidates who are completing their PhD thesis are welcome to apply and should mention the expected date of their defense and
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for a period of two and a half years with possible extension depending on future funding. Qualification requirements PhD degree in computational biology, bioinformatics, computer science, biostatistics
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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 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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efforts. The Helsinki Lab of Interdisciplinary Conservation Science (HELICS) is an interdisciplinary and internationally recognized team with expertise in conservation science, geography, computer science
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20 Feb 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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8 Mar 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3