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Working Title: Senior Machine Learning Engineer [Hybrid] No Visa Sponsorship is available for this position. The work location is Ithaca, New York with the possibility of a hybrid work schedule that
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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Lecturer for the following module: Learning and Employee Development 1.5 hours of teaching per week for 9 weeks Autumn Term teaching starts w/c 5 October 2026 Produce pre-recorded lectures to refresh
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standard procedures. May provide assistance to entry level staff. Additional Job Details: The HR Administration Coordinator for Employee Learning role is focused on supporting the day-to-day administrative
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Stu Learn to Swim Instructor-Non-OSU
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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, Australia Job No: APTAV136018#001 Develop and facilitate leadership, culture and capability learning programs to strengthen business effectiveness and enrich employee experiences Join a high performing
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We
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Here at Brockenhurst College, we are looking to recruit a Healthcare/Learning Support Assistant on an annualised hours basis (working 19.5 hours a week, across 3 days, 39 weeks per year). In return