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the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs
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. The role involves contributing to a major industry-aligned project funded by the Australian Government through the Australian Research Council’s Industrial Transformation Research Programme. This position
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this position, you will work at the interface of computation and experiment, developing and applying computational methods to analyze large-scale microscopy and genomics datasets. You will be a key member of a
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Department PSD Chemistry: Moellering Group About the Department The Moellering Research group research is at the interface of Chemistry and Biology, with an eye towards understanding and intervening
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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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deadlines. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Established as a central scientific institution of
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work
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/forskning/farmaci-sektionen/forskere Further information for international applicants about entering and working in Denmark. For further information about the PhD program at the department, read here: https
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Computational Medicinal Chemistry for Addiction Research Apply for this job See advertisement About the position We invite applications for a PhD Research Fellow position in Computational Structural Biology is
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum