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in Computer Science or a related field. For Graduate level teaching: PhD in Computer Science or a related field. Desired Qualifications: Work experience in related industry or teaching experience in
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qualification. Candidates should have a PhD in Materials Science and Engineering, Chemical Engineering, Chemistry, or a related field. We welcome applicants with recent PhDs and individuals seeking additional
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candidate will be expected to work onsite as of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal
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Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots. New York University (NYU) is one of the top private
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New York and the selected candidate will be expected to work onsite as of their effective start date. PhD in Physics, neuroscience, biology or a related field. Experience in optics, programming, and/or
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limited to) study design, data collection, data analysis, manuscript preparation. Candidates must hold a PhD degree with at least 3 years in social psychology or a closely related field, be competent in
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
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qualifications. Candidates should have a PhD in computational biology, bioinformatics, microbiology, genomics, systems biology, bioengineering, evolutionary biology, ecology, biophysics, applied mathematics, or a
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addition to supporting the research of the PI. Qualifications: Candidate must hold a PhD or equivalent terminal degree with at least 6 years of relevant experience in their field (not including the years obtaining the PhD