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this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding gap between how artificial and real networks learn. The Department of Neuroscience
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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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and nanostructuring, all guided by advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You
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in their decisions and businesses in their strategies. You will join the Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will
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seeking a postdoctoral researcher with expertise in distributed intelligence, reasoning models, LLMs, workflow management, and distributed systems to contribute to the development of advanced decentralized
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. This role will involve the development of novel lattice QCD algorithms and high-performance computing (HPC) codes, and/or exploring applications of artificial intelligence (AI) to lattice simulations
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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and Shock Mechanics Laboratory. You will be asked to provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, PhD and project students
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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/her research independently (proficient in all immunology and virology experiments and writing papers). Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Ph.D Certificates