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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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, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience demonstrating attention to detail and commitment to safe
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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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PhD) intending to take a full-time course of study in computer science, cyber security, technology, mathematics, computer engineering or data science at any New Zealand tertiary institution. Apply
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 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
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will be to support the delivery of the Department of English and Creative Writing’s BA programmes. You will be expected to teach a range of undergraduate modules, which will likely include Approaches
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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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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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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or