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English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning
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1 (one) Research Fellowship(s) for R&D Initiation under Special Regime (BII-RE) for Bachelor Student
Horizon Europe – the EU Framework Programme for Research & Innovation, Grant Agreement No. 101186829, under the following conditions: Scientific Area: Computer Science or related areas Admission
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Click to read more about the Dublin Innovation Institute (DII): https://dublininstitute.northeastern.edu/about/ Term: 10 months, full time Reports to: Dr. Shashi Murthy, Head of Institute. Prof. Giovanni
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Alternative Workspace Guidelines The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https
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learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover high-value polymers from complex waste streams such as multilayer packaging
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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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, machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz on the development of sensing and computational frameworks to characterize human mobility and behavior
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Qualifications • PhD in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field. • Experience in robotics design, mechatronics, electromechanical systems