27 requirements-engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Harvard University
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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
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collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering
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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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candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field Minimum Number of References Required 2 Maximum Number
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Fulbright U.S. Scholar Postdoctoral/Early Career Grants Eligibility: US citizenship required. Deadline Month: Various, announced February Description: The Fulbright U.S. Scholar Program offers
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candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 3 Maximum Number
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Education and the Curriculum Fellows Program to align and strengthen the postdoc RCR course and the graduate student Responsible Conduct of Science (RCoS) course. Other tasks as assigned Physical Requirements
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to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field Minimum Number of References Required 3 Maximum
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of experience, training or qualification, field of scholarship, and accomplishments in the field Minimum Number of References Required 3 Maximum Number of References Allowed 3 Keywords
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning