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, the student must have satisfactorily undertaken courses in Mathematics equivalent to at least 30 ECTS credits. The assessments of the applicants are based on their qualifications and their ability to benefit
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of mathematical modeling and data analysis. Experience of programming languages and tools commonly used in biophysical or agricultural modeling (e.g., Python and R). Familiarity with food system resilience
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their results from the GMAT (and/or GRE) and TOEFL tests if available. Documented skills in using quantitative methods such as Mathematics and Econometrics is a merit. Application The application shall contain
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. The applicant should have strong background in mathematical foundations of computer science and experience in Python programming. Previous experience in deep learning, reinforcement learning, or explainable AI is