1,033 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"P" PhD positions
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a
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ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of
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that drives this we plan to identify therapeutic targets that could prevent the progression of MGUS to myeloma. Research Methodology This PhD project will investigate changes in the innate immune system in MGUS
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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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letters. Closing date 15 March 2025 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 2 months ago
modern, structured doctoral program in English with a tailored curriculum . Fully funded positions plus additional funding for scientific meetings and trainings (no tuition fees). Individual supervision
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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importance to a binary assessment of effectiveness. As such, the aim of this PhD programme is to comprehensively evaluate football officiating decision support systems. Identify aspects of newly developed