383 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"ISEP" positions in Denmark
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret
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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
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with modeling thermoelectrics, heat transfer and electrical systems. Experience with writing and publishing scientific articles. Ability to work independently, to plan and carry out complicated tasks
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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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towards a more sustainable built environment. The announced position is part of this new research program: Civil Engineering and the Green Transition in the Built Environment (CEBE), and the successful
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harms of novel treatments or intervention programs, and pragmatic implementation studies conducted in collaboration with external partners e.g., in primary care. The candidate should also support ongoing
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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