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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as
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critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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Robust solutions, reuse and recycling Research Group for Building Physics has a wide network both nationally and internationally, and research is often conducted in collaboration with companies
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Bayesian Networks (DBNs) for probabilistic risk modelling Scenario-based simulation for rare-event analysis You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading
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Professor José Luis Martinez Ruiz. The selection procedure will be open, transparent, merit-based and in line with the Code of Conduct for the Recruitment of Researchers . All the network institutions
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research focus. Build a standout profile: Publish and present your work in leading journals and conferences, take a 4-6 month external research stay, and grow a network across academia, system operators, and
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to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed
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familiar with quantitative statistical analysis and has at least a basic understanding of statistical analysis framework or software. If you do not have any experience with the above but are interested in