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signatures indicative of treatment sensitivity, uncovering and mitigating paths to drug resistance, and predicting toxicity effects of drugs in healthy cells. In the dynamic research environment at SciLifeLab
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problems, and make a positive impact in the broad scientific community. You will be working with a dynamic and supportive team in a diverse, inclusive, and stimulating research environment. Primary
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. The Fellow will be immersed in the thriving Biophysics environment at SciLifeLab, Solna, a collaborative hub for experimental and computational biophysics research. The shared resources, including cutting-edge
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Linux console environment Proficiency in PyTorch, TensorFlow, or Jax To be successful in this role, it is of key importance to demonstrate a high level of independence in the pursuit of your work. You
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is in the field of data-driven epidemiology and biology of infection, which covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and
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that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. Project description The objective
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appreciated bioinformatics tools. You will be part of a Scrum team focusing on internal NBIS or support projects. We offer a dynamic environment, we value the exchange of knowledge and provide time for
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cycle of applications, from planning and development to deployment and maintenance. We offer a dynamic environment; we value the exchange of knowledge and provide time for professional development
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an environment where all individuals feel empowered to contribute their unique perspectives and skills towards our shared goal of advancing precision cancer medicine. What do we offer? A creative and inspiring
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GitHub or other version control systems. Our lab values diversity and inclusion, and we are committed to fostering an environment where all individuals feel empowered to contribute their unique