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at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
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extensive interests in population genetics and human evolution, providing numerous opportunities for collaboration with postdocs and PhD students working on related projects. The program is also part of
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biochemistry, especially protein purification, and computational image analysis must be acquired before starting PhD project work. As a PhD candidate, you must also be fluent in both oral and written English
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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visualizations tailored to high-dimensional multi-modal spatial data. Qualification requirements Required Qualifications A PhD (or MSc with significant experience) in Bioinformatics, Computational Biology, Systems
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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chemistry, biochemistry and organic chemistry. More than 100 people, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is
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Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs
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genetic, phenotypic, and environmental data, testing when and how evolution can be forecast. As a PhD student in our group, you will gain hands-on experience in computational and mathematical modeling and
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the SciLifeLab Fellows program. The successful candidates will join KI and