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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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transition. Qualifications The successful candidate should have: A master’s degree (or expect to complete it before the appointment date) in physics, engineering, informatics, or a related field. Proven
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, you will closely collaborate with colleagues from the Health Systems and Insurance (HSI) group and the Health Technology Assessment (HTA) group. Additional information Join our team to contribute
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PhD: Storm Surge Barriers and Adaptation Pathways for Deltas Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 12 June
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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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, sexual orientation or physical abilities. About CWI Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes
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qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities. About CWI Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute
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technology, physical chemistry, or related disciplines; experience of working in a lab is essential. Basic knowledge on food ingredients, food structures and physical phenomena is needed; work in an
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. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental