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Field
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highly skilled in and deeply passionate about experiments that combine nanophotonics with free electron science. The RF should have strong background in photonics as well as in the use of electron sources
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physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with radio, optical, or hard-radiation
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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environment or atmospheric or lightning physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas
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. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students. The department has
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Department: College of Science Classification: Post Doc 12 month Job Category: Postdoctoral Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 14 days ago
infrastructures and submission standards (e.g., eCTD), and strengthen their competencies in scientific writing, visualization, and interdisciplinary teamwork. Mentor: The mentor for this opportunity is Qi Liu
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zu Berlin contributes to the development of NOMAD, the world’s largest data repository for materials science. Within SolMates, the team builds on its experience in integrating image segmentation and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 14 days ago
and predictive modeling as well as a scientific understanding of the fundamentals of how toxicology study data is used at FDA to ensure the safety of clinical trials. You will also have the opportunity