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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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the design, analysis, or implementation of algorithms strong programming skills; experience with Magma or another computer algebra system is highly desirable experience with C/C++ and Linux
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electrolysers (PEMWEs) across three key areas: Developing standardised sampling and analysis methods to measure PFAS emissions in liquid, gas, and aerosol streams and validate PFAS release during system operation
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Applicants should possess: • A PhD (completed or close to completion) in Communication, Public Health, Information Systems, or a closely related discipline. • Strong quantitative research
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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across four interconnected project areas, each offering structured training and hands-on learning experiences. Project 1: Research and Data Analysis You will gain experience in data science for PHSA’s core
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demonstrate experience in animal behaviour research, ideally in aquatic species, together with practical skills in video-based behavioural analysis and/or applying computer vision or machine learning methods
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well as with Thomas Sales at University College London on the EPSRC funded project Numerical Analysis Of Free Boundary Problems From Biology. The project considers the numerical analysis of Stefan-type problems
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Fellow to support maritime decarbonization research, focused on the IMO Net-Zero Framework (NZF) and related regulatory and market developments. The role involves quantitative analysis, scenario
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for omics study; (d) perform mass spectrometry and bioinformatics analysis; (e) conduct research data analysis and prepare manuscripts/reports; and (f) perform any other duties as assigned by