196 parallel-programming positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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Degree Dr Course location Nürnberg In cooperation with Institute for Employment Research (IAB) Teaching language English Languages English Full-time / part-time full-time Programme duration 6
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an evaluation of college credit earned at the non-U.S. institution. DUTIES & RESPONSIBILITIES Instructional Program Responsibilities Participates in curriculum development; recommends course outline revisions
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Instructional Program Responsibilities Participates in curriculum development; recommends course outline revisions Recommends textbooks and other instructional materials and equipment; recommends library and
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, teaching within the Bachelor and Master Program of the department. The position offers the opportunity to acquire your own third-party funded projects and to obtain a postdoctoral qualification (Habilitation
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interdisciplinary research consortia, and it hosts the International Max Planck Research School Physics from Light to Life (IMPRS-PLL) as a dedicated graduate program, which trains the next generation of scientists
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available in the further tabs (e.g. “Application requirements”). Programme Description The International Climate Protection Fellowship supports prospective leaders working academically or practically in
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AMR. The LCN leads Q-BIOMED, the UK’s Quantum Biomedical Sensing Research Hub a 5-year £24m national programme spanning several UCL departments and six partner universities. Our staff and students have
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otherwise indicated) and will be maintained in pool for two years. After two years, candidates will be notified to re-submit materials for continued consideration. The department or program search committees
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language