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Field
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- “Artificial intelligence and management”. He/She will be required to: (a) coordinate events and conferences; (b) conduct high-quality research, especially in the area of Artificial Intelligence and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 5 hours ago
) at the Center for Drug Evaluation and Research (CDER) of the U.S. Food and Drug Administration (FDA) located in Silver Spring, Maryland. The Center for Drug Evaluation and Research (CDER) performs an essential
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Biomedical Ethics Program are seeking applicants for the full-time clinical ethics fellowship. This competitive, 2-year program offers the opportunity to train with the Center’s nationally renowned faculty and
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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to students involved in the project. To collaborate with academic and industrial partners and perform other duties related to the research program. Job Requirements: A PhD in Computer Science, Artificial
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PMSRM/PMSynRel) control using inverters, high-performance motor drive control, and Battery Management Systems. • Develop digital twins of the detailed electrical power system based on the concept
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. Utilize Finite Element Method (FEM) software (e.g., COMSOL) to perform thermal analysis, modeling heat distribution and dissipation in high-power operational conditions. Define theoretical performance
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manuscripts for publication in high-impact peer-reviewed journals. Contribute to grant applications and collaborative research proposals. Maintain accurate documentation of computational analyses and workflows
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cells, develop and optimise functional assays, and perform medium- to high-throughput pharmacological screening. Positive candidates will be characterised using concentration–response experiments and