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position within a Research Infrastructure? No Offer Description Machine Learning PhD Engineer Application Deadline: 1 February 2024 Department: Renewables Employment Type: Permanent - Full Time Location
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Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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graduate study programs. Holding a PhD degree or a Master of Science Diploma from a university in the EU, OECD, or G20 countries is an advantage. To learn more about the Department of Computer Engineering
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A Corp Lab in NTU is looking for a research scientist to conduct research with the PI in the areas of digital twins, 3D graphics, computer vision, deep learning, large language models (LLMs
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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programs. Holding a PhD degree or a Master of Science Diploma from a university in the EU, OECD, or G20 countries is an advantage. To learn more about the Department of Computer Engineering please click here
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students and conducting research related to AI, Computer Vision, and Machine Learning that can be applied in both Electrical Engineering (ECE) and Bioengineering (BE) fields. Required Qualifications: PhD in
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in Medical Statistics and Health Data Science. Applicants should have a PhD in a quantitative area, preferably in machine learning or including a substantial machine learning component. They should
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Research. The project is in close collaboration with the Computer Graphics Laboratory at ETH Zürich (Prof. Barbara Solenthaler PhD) who develops a fully virtual infant face and head model. The project will