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the complex food composition, which can lead to masking effects and molecular interactions in the food matrix. The applicant will work on the development of machine learning prediction models
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methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
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, programming and experience with machine learning are advantageous. We expect an interest in seagoing work and independent data acquisition in the coastal zone of the Baltic Sea. What does the IOW offer? The IOW
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Gesellschaft für Naturforschung, based in Frankfurt am Main, is seeking to fill the following position for its Messel Site PhD Position/Research Assistant (m/f/d) in paleoentomology and paleobiology (part-time
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Knowledge and experience in sensor calibration with methods of multivariate regression and machine learning Experience in agriculture, soil science, remote sensing and geographic information systems is
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, the candidate will work on integrating methods of statistics / causal inference with methods of machine learning with applications in epidemiology. We seek an excellent, open-minded and team-spirited
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tool for agricultural datasets based on merging advanced statistics, machine learning and biophysical modelling regular interaction with the FAIRagro team to develop appropriate infrastructure
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possible. She/he will contribute to ifo’s main research topics with his/her independent research applying a combination of state-of-the-art machine learning and causal inference methods to innovative and