119 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at Nature Careers
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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one or more of the following theories/methods: - wave-packet quantum dynamics (e.g., AIMS or MCTDH programs) - mixed quantum-classical dynamics, such as non-adiabatic MD (e.g., SHARC program) - density
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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Job Id: 11899 Fixed-term (3 years) | Part-time (65%) | Salary according to TV-L E13 | Department of Neurology (Chair: Prof. Dr. Dr. S. Meuth) We are UKM. We have a clear social mission and, with
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will be 16 May 2026, or as soon as possible thereafter. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career
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of the group. Finally, the doctoral student will have to fulfill the course requirements of the PhD program as outlined in the relevant rules and documentation available at the ki.se website. What do we offer? A
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of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https
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motivated and talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts