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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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, and artificial intelligence, and with experience in probabilistic models,computer vision based object detection tools, and reinforcement learning techniques. Selection process Contest Evaluation Method
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required licensure/certification? Valid driver’s license Required Computer Applications: Microsoft Access, Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer
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Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1) Knowledge
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Course Description: This course will introduce the fundamental concepts of information and communication technology for those students with a health science background, but no formal training in computer
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: Electrical and Computer Engineering 2. Admission Requirements: - The candidate must hold a Master's degree in Electrical and Computer Engineering or related fields. - The candidate must be enrolled in a PhD
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a reality. This development takes place is in a close, fruitful collaboration between experimentalists