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at varied scales (national, regional and local). We expect that you will be an important part of the research environment and that you will contribute positively to the social working environment. We also
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for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
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, passionate about science, and keen to learn and improve skills within a supportive research environment. You will be part of a multidisciplinary team and will be tasked with proactively seeking and maintaining
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Department of Mathematical Sciences, Aalborg University, Denmark. The project is funded by the Novo Nordisk Foundation. Your profile Applicants should hold a recent PhD degree in Chemistry or similar, with
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pharmaceutical leader. Responsibilities and qualifications The project will be conducted in the inspiring environment at the Section of Bioinformatics at DTU Health Tech as part of the IML research group led by
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and Ph.D. students. Research environment You will join the ‘Multiphysics Simulation and Optimisation’ (MSO) research group lead by Assc. Prof. Joe Alexandersen at SDU Mechanical Engineering (SDU-ME) in
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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with a global pharmaceutical leader. Responsibilities and qualifications The project will be conducted in the inspiring environment at the Section of Bioinformatics at DTU Health Tech as part of the IML
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at varied scales (national, regional and local). We expect that you will be an important part of the research environment and that you will contribute positively to the social working environment. We also
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Job Description We seek an enthusiastic and engaged postdoc willing to be part of a world-leading research environment and contribute to developing wind, solar generation and electricity price