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these programs will facilitate the group members’ nationwide networks and multidisciplinary collaborations. Working in a young team, group members will benefit from first-hand guidance from the principal
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and practical planning to shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research, in close collaboration with key national and international partners
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life science. You will lead the scientific aspects of the operation and drive national and international collaborations. This is a strategic role in a research-intensive environment with substantial
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models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and
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Uhlén (Director of the Human Protein Atlas), together with a collaborative, multi-institutional constellation of SciLifeLab researchers and infrastructure units. The AlphaCell program is recruiting a
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model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi-institutional
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approximately 60 doctoral students. The department offers a strong research environment with unique opportunities for synergy and collaboration between theoretical and experimental activities. Access to BSL2 and
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offered by these programs will facilitate the group members’ nationwide networks and multidisciplinary collaborations. Working in a young team, group members will benefit from first-hand guidance from
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is