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for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory will be based on the introduction of assume-guarantee contracts for control
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to the development of a control theory that is inherently modular, i.e., that allows for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory
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position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising to € 3.707,- in the fourth year in according
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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internationally. • Participate in the Faculty of Science PhD training program. • Participate in the department’s educational programs, assisting in teaching and supervision of undergraduate or Master students
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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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chain management in a short research proposal. Organisation The PhD position is embedded in the research programme Opera of FEB’s Research Institute. The project will be supervised by dr. Chengyong Xiao