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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 6 days ago
on the development and application of artificial intelligence, machine learning, mechanistic modeling, mathematical modeling, and simulation methods to pharmaceutical manufacturing and product characterization
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will learn how to: • Conduct in vivo preclinical research experiments focusing on neurosensory studies. • Conduct in vitro and ex vivo combat casualty care studies. • Compile and analyze data using
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Mexico (UNM) invites applications for one or more Postdoctoral/Research Scientist positions to contribute to a DOE-funded GENESIS research program applying artificial intelligence and machine learning
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also offers a one-year MA program in government with a specialization in diplomacy and conflict studies and a two-year MSc in machine learning and data science. Various faculty and staff of RU and the
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activity consistent with a Research I university. Postdoctoral Fellows teach one course per semester, including one lower, 2000-level course and one upper, 4000-level course each year. Candidates should
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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Qualifications PhD. required. Additional Qualifications Experience/interest in programming language, verification, artificial intelligence or machine learning. Individuals with a demonstrated track record in
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to mentor and teach undergraduates. Job Description: Professor BJ Casey is seeking a postdoctoral fellow to join her lab. Her lab is in the Department of Neuroscience & Behavior at Barnard College, a
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anticipated to receive by July 2027. Preferred skills: Academic training in computer science, artificial intelligence or machine learning, data science, bioinformatics, computational biology, epidemiology
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, Skills, and Abilities: Expert in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim