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Department(s) Mathematics and Computer Science Graduate Program(s) Industrial and Applied Mathematics Reference number V32.5619 Job description We are pleased to announce that the Department
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Department(s) Mathematics and Computer Science Reference number V32.5674 Job description Data driven modeling is widely used for optimizing modern digital systems, addressing our inability to model
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Department(s) Industrial Engineering and Innovation Sciences Reference number V39.5627 Job description We are looking for a PhD candidate with a background in operations research, mathematics
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, mathematics, industrial engineering, mechanical engineering or computer science. Candidates interested in working on optimization in combination with AI techniques are highly encouraged to apply. Project
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requirements The ideal candidate would have: A Master's degree in Electrical Engineering, Computer Science, Statistics, Mathematics, or closely related areas. The degree should be no older than three years, and
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science or Telecommunications engineering. A good understanding of Wireless Communications/Networking, Network Slicing and NFV concepts. Knowledge of mathematical optimization techniques. Programming experience in Python and/or
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strong mathematical background, coupled with a solid knowledge of power electronics and aptitude for advanced HW design and experimental verification. Besides research you will also contribute to education
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grades are encouraged to apply. A MSc degree in Mechanical Engineering, Physics, Materials Science, Computer Science, Applied Mathematics, or a related discipline is preferred, as well as a strong
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Electrical Engineering, with a strong mathematical background. A research oriented attitude, with a passion for application-driven scientific problems and impactful solutions. Experience with realization
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! Department(s) Mathematics and Computer Science Reference number V32.5509 Job description The candidate will work within the new research group on Data-Driven Scientific Computing led by Olga Mula, located