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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
research lab Empenn in Inria-Irisa, located in Rennes, France. Empenn (https://team.inria.fr/empenn ) is jointly affiliated with Inria, Inserm (National Institute of Health and Scientific Research), CNRS
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Qualifications Education PhD in Chemistry, Materials Science, Biochemistry, Pharmacy, Biomedical engineering or equivalent. Experience and Technical Skills +3 years of experience in materials science, particularly
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Number: JR91421 Position Summary An organic synthetic chemistry/radiochemistry Postdoctoral position is available immediately. The potential candidate should be an energetic, highly motivated PhD in
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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Position Summary An organic synthetic chemistry/radiochemistry Postdoctoral position is available immediately. The potential candidate should be an energetic, highly motivated PhD in organic
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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application form is available through IBEC dedicated site: https://careers.ibecbarcelona.eu/ Only those applications submitted before the deadline will be evaluated. Reference: PHD-IM. If you have any further
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biomarkers to MRI based pre-operative clinical standard. The post is based within CREATIS lab in Campus Lyon Tech la Doua, Villeurbanne, France and the appointed applicant will carry out research in
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statement of research interests, and contact information for three referees. For questions please email: Dan Zhu, PhD, Research Assistant Professor of Radiology, Assistant Director of MRI Protocols for DISC
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for this position. Project description The project will involve integrating PET, multi-modal MRI and other biomarker data to i) resolve the temporal ordering of key pathological events in Alzheimer’s disease; and ii