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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
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Faculty/Directorate Faculty of Engineering, Computing & the Environment School/Function School of Engineering Location of vacancy Roehampton Vale The Role In this role you will be expected to teach
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong
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community. Knowledge of basic machine learning principles. Additional Information Additional Information Should Welsh proficiency require improvement, intensive support/training can be provided. Project
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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-graduate Diploma qualification in assessing and supporting specific learning difficulties, and current PATOSS accreditation (practising certificate), or an Autism specific qualification at Post-Graduate
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of 50,000-60,000 words Computer requirements for studying online Broadband internet connection 3 mbps or higher Internet Browsers Our online learning platform Moodle is compatible with any standards compliant
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. They will build and maintain a network of external organisations to provide work opportunities, placements, internships, work-related experiential learning (WREL) and business hosted projects for Masters
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software