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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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response to this vacancy will not be appreciated. Want to know more about this position? Prof. P.T.J. Wolters (Pieter) pieter.wolters@ru.nl Last modified: 25 July 2025 Share this page Facebook WhatsApp
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& Technology, Data Law & Governance, LGBTQ+ Rights, Anti-Discrimination Law, EU Internal Market Law, Digitalisation. Co-supervisor: Dr. Masuma Shahid, supervisor: Prof. René Repasi Job requirements We
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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Prof. Michele Cucuzzella, and the candidate will be embedded at the Engineering Technology Institute of the University of Groningen (ENTEG). ENTEG research is highly multidisciplinary in nature and
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band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE). For additional information, please contact Prof. Dr. Erik Koffijberg
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies