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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
rings and small moons of Saturn. However, much work remains to be done to fully understand these mechanisms and test against competing hypotheses. This project solicits proposals for modeling studies
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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journals. Minimum Qualifications: A PhD in Neuroscience, Neurobiology, or a related field. Experience in surgical techniques, specifically MCAO, for stroke models in mice. Strong background in biochemical
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Aarhus BSS Graduate School, Aarhus University invites applicants for two three-year PhD scholarships within the research project “Decoding Danish Firm Innovativeness from the Consumer Perspective
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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a related field. The
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, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid