372 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Denmark
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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of Danish or a willingness to learn. A strong independent working style and the ability to plan and execute complex tasks effectively. A passion for knowledge transfer and the ability to document and share
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counselling to expat partners. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD students cooperating across disciplines. As
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,900 students in our bachelors and master’s programs. We hold state of the art research and teaching facilities
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: Experience with numerical climate models and/or chemical transport models such as CESM and/or GEOS-Chem. Advanced programming skills in Python, Fortran, or other relevant languages. Experience in wildfire
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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relevant. Advanced numerical modelling or programming skills are not required. The position is suitable for both recently graduated PhD candidates and applicants with postdoctoral experience. Language
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, biostatistics, pharmacoepidemiology or a related discipline. The applicant must have strong methodological competencies in population-based epidemiology including programming skills and documented experience with