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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Approval and Enrolment The scholarship
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, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate
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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please
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, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please read the full job advertisement by clicking the 'Apply' button Read more
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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of law, political science, sociology, philosophy, history, anthropology, literature, aesthetics, design and innovation, tourism and leisure management, cultural economics, leadership and strategy