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freedom to develop related research questions in collaboration with the research team. A detailed research plan will be co-developed together during the recruitment process. You will join a vibrant
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas Previous research experience in phylogenetic comparative methods Excellent skills in R programming Excellent writing and communication
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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resources, such as two PhD students and postdoc positions. The future of life science is data-driven. Will you be leading that change with us? Then join us in this unique program! MIMS MIMS is the Swedish
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by