1,049 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"J" PhD positions
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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to the PhD programme at the Faculty of Economics and Management . The main goals are competence building and research training. Your tasks as a PhD candidate will be to: conduct high quality research take part
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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information. Starting in October 2026. Later start dates may be possible, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We
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aptitude and assessed ability to complete the project within the framework of the PhD programme You can read more about the assessment procedure and committees appointed by the dean here . Applicants
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complex microphysiological system that allows for the simultaneous control of oxygen saturation, mechanical loading and perfusion Plan and document experimental work Write scientific publications in
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Doctoral Programme - PhD - Faculty of Engineering Science - NTNU You must have prominent skills in using GIS software (such as QGIS or ArcGIS Pro) and be comfortable working with large datasets. You must be
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine