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programme of the European Space Agency (ESA).” See the full call for applications at IMDEA Food: https://jobs.food.imdea.org/es Website for additional job details https://jobs.food.imdea.org/en/offer/112 Work
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- 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 2 days ago
Requirements The PhD student will conduct research tasks outlined in the "AITAX (AI Tax Advisor)" project funded by the Foundation for Polish Science under the FIRST TEAM FENG program, supervised by Dr. habil
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description For more details
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description For more details please see the details
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Entry Requirements: scientific achievements and the workstation requirements
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: 267100 Minimum Education and Experience: Basic Qualifications Completed or near completion of a Ph.D. in Psychology, Cognitive Science, Developmental Science, Education, or related discipline Proficiency
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, data science, physics of complex systems, or a related discipline. Experience in data analysis and/or modeling of biological systems. Technical skills: Proficiency in a scientific programming language
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description COMPETITION For selection: for the professional position of expert associate
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine