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potential for collaborations with the DDLS program, EMBL and The Nordic EMBL Partnership for Molecular Medicine is also considered meritorious for this position. Application You apply via our e-recruitment
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and expertise will strengthen an application: proven experience with Unix command-line interface (CLI) and Bash scripting proficiency in a higher-order programming language like Python or R experience
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with our colleagues at the Department of Chemistry – Ångström, we are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together
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model adequacy Experience with development of R packages Familiarity with RevBayes and probabilistic programming Ability to collaborate in interdisciplinary projects The application should consist
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods
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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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resolution, across a range of research applications. These projects will be conducted in close collaboration with NGI Uppsala, providing access to state-of-the-art technologies and instrumentation for high
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https