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application no later than November 30th, 2025. Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization. Please apply by clicking
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environment. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization. Application The application is to be completed
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areas: 1) Public health problems 2) Incentives and organization within healthcare 3) Design of healthcare systems in terms of efficiency and distribution 4) Economic evaluations of health interventions
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Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg | Sweden | 1 day ago
to 20 % of full-time employment, distributed throughout your study period, and result in a corresponding extension of the studies. Departmental duties usually consist of teaching at first- and second
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that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization. Application The application is to be completed online. Please submit your application by
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++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international
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of the project is to elucidate the fate, distribution, and degradation pathways of PFAS during thermochemical conversion of PFAS-containing biomass and waste feedstocks, and to assess their potential presence in
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provides a unique opportunity to work at the intersection of AI and experimental science, combining fundamental algorithmic development with real-world applications in scientific imaging. Due to limitations
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the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
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learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development