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Field
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, applications of machine learning to particle phenomenology, and lattice QCD, both within the Standard Model and beyond. The particle physics phenomenology group members are: J. F. Kamenik (head), B. Bajc, S
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. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning, optimization, or simulation models to improve clinical operations
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. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free of discrimination
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and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication
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Location: Kavli Institute for Nanoscience Discovery Contract type: 1 year Fixed-term (with the possibility of an extension) We are seeking a Postdoctoral Research Assistant for the Gene Machines
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analysis and machine learning for computer vision Excellent communication skills Excellent verbal and written English language skills (German is not required) Our offer Does this sound interesting? This is
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individuals with interest and experience in numerical analysis, including water quality/isotope analysis and machine learning, and who have experience publishing academic papers in these fields. * Assigned
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We are seeking a Postdoctoral Research Assistant for the Gene Machines’ group, led by Prof Achilles Kapanidis. The group is well known for developing single-molecule and single-cell fluorescence
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug