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desirable. Experience with artificial intelligence, machine learning, reinforcement learning, or optimization techniques applied to autonomous systems is considered an asset. Proficiency in relevant
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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robotics engineering. To learn more about the School click here We are currently seeking a Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation to work within a highly
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is a learning community providing intensive, didactic, and mentored research training to postdoctoral scholars, aimed at Early-Stage Investigators (ESI) and those with disabilities, interested in
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at the University of Miami, Miller School of Medicine. It is a learning community providing intensive, didactic, and mentored research training to postdoctoral scholars, aimed at Early-Stage Investigators (ESI) and
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Biochemistry & Microbiology Salary Details 63,968 Offer Information The final salary offer may be
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and