320 phd-studenship-in-computer-vision-and-machine-learning Postgraduate research jobs
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Salary Tuition Benefits Internal Training Medical insurance – including 100% paid employee medical coverage for full-time employees Dental Insurance Vision Insurance Long and short-term disability
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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UK universities through Japan-UK ASPIRE program, covering synthetic biology, machine learning, and quantum computing, will be available. We promote equal opportunities, diversity, and inclusion
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| Essential skills/experience for the role To be successful in this role you will have: A relevant science qualification, ideally a PhD Proven experience in environmental research and data analysis Strong
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advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine
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excellent research. During this period, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realizing its vision of being a leading
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or questionnaires to Research Ethics Board (REB) in a timely manner; maintains database, records results, including computer data entry and/or observations and sample under supervisions. Assists in analyzing and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques
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supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will additionally learn a