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. The research includes experimental measurements on industrially-pertinent materials using a range of advanced methods (various modes of transmission electron microscopy, x-ray/neutron scattering, x-ray
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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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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Fellowship Position’s major duties and responsibilities Method Development: 3D Posture and Canonical Representation (40%) Develop and validate canonical 3D posture estimation frameworks using core multi-view
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 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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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 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