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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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. Principal supervisor is associate professor Lasse Gliemann, E-mail: gliemann@nexs.ku.dk . The PhD programme Qualifications needed for the regular programme To be eligible for the regular PhD programme, you
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment An assessment of the applicants will be made by
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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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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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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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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 for the PhD education . Assessment
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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 obtained from
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
the relevant union. Starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments