246 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P"-"UCL" PhD positions in United Kingdom
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at the University's campus in Edinburgh. The candidate will have the access to established university resources, and an induction programme will be delivered to the new appointee. Travel for data collection, events
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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level
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knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of
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degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will
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systems, and engage in joint projects with green electronics laboratories across Europe and Asia. The programme supports attendance at major conferences like ISLPED, ICCAD, and PATMOS, and includes
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and