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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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institution for this secondment is Technical University of Denmark, Kongens Lyngby, Denmark. Industrial secondment DC3 will undertake a 3-month research secondment at an industrial partner of the REUNATECH
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with a wide range of data formats and engaging with data experts and database managers. The second major focus is advanced data analysis and statistical modeling to identify patterns in fish distribution
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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advancing your scientific career at a leading research institution. You will join two research groups at the DTU National Food Institute, Technical University of Denmark: “Food Production Engineering” and
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Job Description If you are looking for a research opportunity and a PhD position, here is a possibility at the Department of Civil and Mechanical Engineering, Technical University of Denmark