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Field
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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criteria: a MSc degree in (molecular) biology, or a related discipline (obtained, or expected in the near future); demonstrable experience with basic molecular biology techniques; affinity for (or ideally
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, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical
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dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable though not necessary
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your previous research, the contact information of at least two references that may be consulted and, if applicable, a list of publications. Lists of courses and grades of your BSc and MSc degrees
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closely with the other GenAIDE fellows and industrial partners; complete planned secondments; Contribute to the NACO research cluster (naco.liacs.nl); Selection Criteria MSc (or equivalent) in
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international conferences and to collaborate with other academic and industrial partners. The ideal candidate holds a Master’s degree in Robotics, Control Theory, Mechanical Engineering, or Applied Mathematics. A
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Mechanical Engineering Department. Co-supervision of BSc and MSc projects that are complementary of this PhD project. As the job descriptions cannot be exhaustive, the Researcher may be required to undertake
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top venues; Collaborate closely with the other GenAIDE fellows and industrial partners; complete planned secondments; Contribute to the NACO research cluster (naco.liacs.nl); Selection Criteria MSc