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Field
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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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for one or more Postdoctoral Research Fellowships in the Black Hole Initiative (BHI) at Harvard University. Fellows will pursue research on theory, simulations, instrumentation, or mission design and
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Institute’s Scientific Computing Core (SCC). This includes attending and/or co-organizing software workshops and training hosted both by the CCA and the SCC. In addition to their own software development and
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QS World University Rankings by Subjects. We are looking for a Research Fellow to pursue cutting-edge research in simulations and theory pertaining to novel mechanisms of extreme ultraviolet (EUV
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integration framework with Foundational Multi-Scale Data Processing, Temporal Relationship Intelligence, and Intelligent LLM-Powered Social Simulation and Decision Support capabilities, that leads
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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to undertake complementary, ambitious two-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and
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, electromagnetic simulation, magnetic coupling enhancement, electromagnetic shielding evaluation, and laboratory validation in a multidisciplinary research project involving civil and electrical engineering. Key
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
approval, and constructing simulation datasets grounded in real data characteristics to assess surrogacy under scenarios not fully represented in existing data. You will also have the opportunity