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statistical analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research
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model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
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. Experience with omics approaches. Working with human pathogenic bacteria. Molecular studies of AMR mechanisms. Data-analysis skills (R-Studio or similar). Knowledge of or interest in natural product chemistry
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Stata; Knowledge of R, Matlab, Python, and/or Fortran; Experience working with micro data, ideally administrative or matched employer–employee data; Documented research track record at international level
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research programs
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, AAAI, ECAI, and TMLR. The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa (andresmasegosa.github.io ), methodological PI of the DK-Future
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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Offshore is Denmark's national R&D centre
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight