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and the research group led by Assoc. Prof. Mikael Altun. This is a unique opportunity to work at the forefront of team science within a national research infrastructure dedicated to advancing the future
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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30
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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and
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computing resources , thus offering a stimulating environment for scientific development and education. Department of Molecular Sciences conducts research and education in chemistry, biochemistry, molecular
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. This creates a unique opportunity: you will enter a field with demonstrated scientific merit and global momentum, while contributing to the development of its next generation of computational tools. The project
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methods for continuous trait evolution. We welcome candidates with strong backgrounds in quantitative biology, applied mathematics, physics, computational science, statistics, or related fields. Main
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Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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located at SciLifeLab in Stockholm , in direct connection with NGI Stockholm . Description of the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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scientific computing in high-performance computing environments are essential. Excellent written and spoken English skills are required. We are also looking for someone with experience with 3D image processing