23 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Computer Vision Center" PhD positions at Nature Careers in Denmark
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a M.Sc. in chemistry (for 5+3 programme). Candidates close to defending their M.Sc. thesis are also welcome to apply (M. Sc. defence must be completed prior to start date for the 5+3 program). We
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transporters are LAT1, SNAT2 and PAT1 as these have all been implicated in cancer. The project will do this via computational modeling and design using AlphaFold3.0 and available protein structures and ligand
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
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academic approval, and the 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
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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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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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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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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine