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conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in the field of Energy Infrastructure, Maritime Economics, Ports
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of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data
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participation in top international conferences to present your work Participate in yearly retreats organized by the doctoral network participants Support the dissemination of software tools and concepts Supervise
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to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but
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delivery to the foam on your cappuccino: the properties of small molecules, polymers and proteins in the mixture together define the key properties of these systems. Predicting these properties by only
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research methods, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a
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Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe