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models); Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch); Experience with distributed systems and edge AI; Strong publication record in reputable
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journals strong programming skills the ability to work independently as well as in an international, interdisciplinary team with industrial partners excellent written and spoken English Who we are
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programming skills (e.g. Python, Matlab). Ability to analyse spatial (GIS) and large operational datasets. Interest in interdisciplinary work involving computer science. Strong written and verbal English
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.). Doctoral degree in a relevant field of research. High-level proficiency in English. The following qualifications and experience are required: Scientific computing, possibly with different programming
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quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging, atmospheric spectroscopy, greenhouse-gas measurements, UAV observations, radiative
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, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to
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-throughput experimental workflows. Protein biochemistry, molecular biology, or functional studies of protein regulation. Programming, scripting, or computational workflow development, including R or
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proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB
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. Excellent programming skills in R and Python or similar. Advanced statistical and data-analysis skills. The ability to work independently, develop research questions, and think creatively and critically