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evaluating strategic and tactical marketing and communications plans. Must be a strong copyeditor. Proficient in digital marketing tools including Google Analytics, Google Ads, Meta and LinkedIn. Must be
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but
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, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About The Role King’s College London is an internationally
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interaction on Meta Quest headsets Conduct usability testing and gather feedback for iterative improvements Write and maintain clear technical documentation and unit tests Must-have qualifications: Enrolment in
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Internal Number: 5416954 Graduate Apprentice (Student Pathways Apprenticeship Program) Ohlone College Salary: $20.00 Hourly Job Type: Part-Time Temporary Division: President's Office Opening Date: 09/08/2023
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building, and team approach to management. Experience in the use of computer technology as a teaching tool, including experience with course management systems (i.e. Blackboard, Canvas, etc.). Excellent
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skills, and a detail-oriented work style. Applicants must have a Ph.D. or equivalent doctorate in an appropriate field (Gut Microbiome, Immunology, Microbiology, Nutrition, Quantitative and Computational
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, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data
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of Computer Science and Department of Mathematics and Statistics are seeking applicants for a nomination to a Canada Excellence Research Chair (CERC) in the area of the Foundations of Efficient Artificial Intelligence