217 machine-learning-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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members of SERENE. Person Specification First degree in physics, mathematics, or similar, with a higher degree (or near to completion) relevant to empirical modelling (any discipline), machine learning (any
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technologies like Azure Data Explorer (ADX), PostgreSQL, MongoDB, and data driven machine learning tools such as Spark, Power BI. Experience with optimisation, simulation and data analysis tools such as Matlab
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interactions, and computer simulations to quantify the nature and strength of these interactions. The candidate should have experience with analysis of GPS telemetry data and camera traps and subsequent
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, implementing, and optimising advanced AI algorithms, with deep proficiency in machine learning architectures, scalable model development, and high-performance code. The role holder will have the opportunity
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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch
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sought to join Dr Gabriela Misca's research team on a study investigating policy and practice relating to Armed Forces families. This is an exciting opportunity to contribute to impactful research, engage
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operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process
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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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access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance
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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