368 programming-"https:"-"https:"-"https:"-"University-of-Washington" positions in Denmark
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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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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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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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: 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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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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foci of the degree programmes, the successful applicant will be expected to teach in both Danish and English. The successful applicant must complete Aarhus University’s teacher-training programme for
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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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, biostatistics, pharmacoepidemiology or a related discipline. The applicant must have strong methodological competencies in population-based epidemiology including programming skills and documented experience with
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information may be obtained from Professor and Head of Research Group, Frank Aarestrup on fmaa@food.dtu.dk or Associate Professor, Philip Thomas Conradsen Clausen plan@food.dtu.dk Read more about the DTU
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python