164 computer-science-programming-languages-"the"-"UCL"-"IDAEA-CSIC"-"Humboldt-University-Berlin" PhD positions in United Kingdom
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4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
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should be made online . Under Campus, please select Loughborough and select Programme Ph.D. Sport, Exercise and Health Sciences (PSRP11). Please quote the advertised reference number SSEHS/CL26 in your
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and spoken communication skills The following skills are desirable but not essential: Background in
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to gain, at least a 2:1 degree (or equivalent) in a relevant degree programme, e.g., Geography, Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language
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available under the ‘Our project-based studentships’ section). All applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select the Programme as ‘School of Science/Computer Science
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Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Computer Science or a related field. Strong motivation to conduct groundbreaking AI research that make a positive impact in the real-world. Excellent communication skills in English, both speaking and writing
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture