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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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spatial database management, in data governance and the establishment of user and linked data services. Competencies in the fields of data literacy, spatial data science, GeoAI, machine learning and
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results Motivation to learn and communicate about Planetary Boundary Science Analytical interest in and understanding of political and scientific debates Project management skills and experience in
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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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, 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
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education as well as a doctorate in the field of mathematics or equivalent experience. We are seeking outstanding scientists in research fields of statistics, machine learning, or optimization. Very good