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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent
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, Health Science, or a related field. No experience required. Preferred Qualifications PhD in sociology, science and technology studies, anthropology, or a related field. Experience with ethnographic
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We are seeking a full-time Postdoctoral Research Assistant to join the Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by Toyota Motor Europe and is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required Qualifications, Competencies, and
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Experience: Candidate must hold a PhD or equivalent degree in neuroscience, biochemistry, chemistry, molecular biology, psychology, computer science, biomedical engineering, biology, or other relevant
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or related fields PhD graduates of UT Dallas’s Bioengineering program is highly preferred Other Qualifications To the extent this position requires the holder to research, work on, or have access
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or