6 parallel-computing-numerical-methods Postdoctoral positions at AALTO UNIVERSITY in United Kingdom
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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Department of Chemistry and Materials Science is looking for: A Postdoctoral Researcher in computational modelling of self-organization in soft materials to join the Research Council of Finland Center of
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived
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of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local to Holarctic scales. The position also involves participation
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof