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Field
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limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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other public events. Required Qualifications: Ph.D. in computer science, physics, data science, or closely related field; Experience in data mining and machine learning, or experience with agent-based
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experience working with digital neural networks Experience mentoring junior research staff Demonstrable career trajectory in AI Health Downloading a copy of our Job Description Full details of the role and the
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propose strategies for fields on the Norwegian continental shelf. Competence required in at least one of the following fields: Reservoir simulation, computational modelling Competence desired: Subsurface
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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execution of complex experiments or simulations, and mentor junior researchers. Responsibilities Lead and execute research projects related to quantum computation, particularly the generation and control