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Field
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Qualifications for Project D To qualify for the fellowship, the candidate should have a PhD degree, or a foreign degree that is deemed equivalent in computer science or biology. The ideal candidate has either a
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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activities, including: Observing and contributing to research projects across the School of Architecture, Built Environment, Computing and Engineering. Participating in Faculty Research Groups and
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a PhD in biochemistry, molecular biology, chemistry, physics, engineering, or a closely related field in single-molecule biophysics. Candidates should also have extensive research experience in
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. The Faculty of Health Science and Technology has an opening for a full-time post-doctoral research fellow in Computer Science with a focus on Impact and Risk Assessments, Artificial Intelligence, and Digital
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
research vision. Minimum Education and Experience Requirements PhD in Biomedical Engineering, Neuroscience, or a closely related field. Required Qualifications, Competencies, and Experience Previous research
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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic