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on academic record, as well as professional and extra-curricular experience. Basic Qualifications: PhD in Chemical Engineering, Electrical Engineering, Systems Engineering, Biomedical Engineering or related
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Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
Details Title Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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Details Title Postdoctoral Fellow in Biomedical Control School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description Multi-omic
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for analyzing smartphone data–collected with our high-throughput digital phenotyping platform–in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes. Basic
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biomedical researcher with philosophy or science and technology studies (STS) training, or a sociologist of science proficient in lab ethnography. Candidates should be able to productively engage with
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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, Kinesiology, Movement Science, Physiology, Biomedical Engineering or a related field. Additional Qualifications A strong background in statistics, as well as previous experience in human subjects studies with
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research experience Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with at least two of the
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is to advance diversity inclusion in the health, biomedical, behavioral, and STEM fields that builds individual and institutional capacity to achieve excellence, foster innovation, and ensure equity in
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data–collected with our high-throughput digital phenotyping platform–in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes. Specifically, this postdoc