27 information-technology-"https:"-"https:"-"https:" Postdoctoral positions at Harvard University
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Details Title Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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Qualifications: Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications: Expertise (or desire
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eligible to apply. Deadline Month: April Description: Supports early career scholars working to bring transformative medical research, education, and technology to rid the world of neurological diseases
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in relation to our lab’s focus. We will review submissions on a rolling basis and keep the position open until it is filled. Contact Information For more information, please contact Dr Wahab, 60 Oxford
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a
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candidate will lead research on the search for interstellar objects or Unidentified Anomalous Phenomena (UAP) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering, applied mathematics, computational