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software development, including version control, testing, and reproducible research workflows; familiarity with CI/CD practices is an advantage. Experience with supervision of BSc and MSc student projects
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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
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DISC profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant parties. Learn more about these initiatives at our Career Hub
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unique career development opportunities. These include personalized DISC profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant
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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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. 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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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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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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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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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