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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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the Department are largely project-based, with a strong tradition for interdisciplinary research and international collaboration. The Department of Ecoscience is engaged in research programs and advisory work
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
Training Programme. A successful candidate may be hired at our campuses in Odense, Kolding or Vejle, depending on the candidate’s profile. About the department Based in Odense, the Department of Mathematics
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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commensurate with the associate professor rank Experience in international research and an independent research programme Formal training in pedagogics at university level and documented pedagogical skills
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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: A Ph.D. in biophysics An Msc in physics. Extensive research experience in soft matter and biophysics. Analytical and programming skills for data analysis and ai-based analysis. Good interpersonal and
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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research from pharmacoepidemiology and clinical studies