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Field
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-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
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://profiles.wustl.edu/en/persons/jaebok-choi/ and https://oncology.wustl.edu/people/jaebok-choi-phd/ . Trains under the supervision of a faculty mentor including (but not limited to): Manages their own project, which
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, which is also extended to practical studies, often in collaboration with different stakeholders within the field. This knowledge is transferred through the various programmes supported by the department
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Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement learning in people
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an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about
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experimental background and a demonstrated interest in building new measurement platforms are especially encouraged to apply. The selected candidate will work in a highly collaborative research environment
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candidate proteins will be applied in bio-assays using freshwater snails to test their bioactivity. These candidates will emerge from collaboration among the three post-docs on the project and will require
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of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
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in close collaboration with Sjoerd Dirksen , Johannes Maly , and a PhD student that will start at the Ludwig-Maximilians-Universität (LMU) in Munich, Germany. During the project, you will spend two
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including high-impact scientific publishing, and collaborative research with international teams. Who we are looking for Requirements MSc degree in Computer Science, Data Science, Machine Learning, or a