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Field
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
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Centre for Practice and Healthcare Innovation (TCPHI) research centre in the School of Nursing and Midwifery, Trinity College Dublin offers leading expertise: https://nursingmidwifery.tcd.ie/research
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University of California, San Francisco | South San Francisco, California | United States | about 13 hours ago
experience preferred. 11. Knowledge of perioperative terminology and surgical specialties preferred. Required Skills (III level only) 1. Experience in a health care setting. 2. Previous database/data entry
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Position Description We are hiring a research coordinator to facilitate the activities of grant-funded research (see https://sites.duke.edu/bablab/ ) and the Duke Interdisciplinary Behavioral
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Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr/department/immunology/). Background : We are seeking a highly motivated researcher to join
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, later applications may also be considered. Further information can be found at https://www.ph.nat.tum.de/cmt/ . Remuneration will be based on the collective agreement for the Civil Service in the
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theoretical researchers. Further information can be found at https://www.ph.nat.tum.de/cmt/ . The postdoctoral fellowship from the Condensed Matter and Quantum Theory groups at TUM is planned to be offered
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-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
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, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en
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who have the opportunity to collect data in LMICs. Initial reading Dotse, J., Nicolson, R., & Rowe, R. (2019). Behavioral influences on driver crash risks in Ghana: A qualitative study of commercial