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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 29 days ago
The candidate is expected to hold an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or informatics. The candidate should have some experience in either: • In a computer simulation
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | about 1 month ago
Bioimaging Support: ABiS], where we are responsible for magnetic resonance imaging (MRI) support. Within the ABiS program, we provide support for MRI and MR spectroscopy (MRS) measurements of brain and body
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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research Group at https://www.it.pt/PIA-Lx Who can apply and how Any national, foreign, and stateless candidate(s), holding a PhD in Electrical Engineering, Computer Science and the above specified
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in supervising doctoral theses; postdoctoral research experience carried out at reputable institutions abroad in the fields of biomedical informatics, image and signal processing, and artificial
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, to ensure accurate imaging. Performs computed tomography scan of patient as requested by clinical requisition. Explains procedure to be performed to patient prior to scan and answers any questions throughout
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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clinical practice and documentation. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking
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established guidelines related to human research in the fields listed above Exceptional organizational and problem-solving skills, and attention to detail High computer proficiency Ability to work both
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3D multiplexed tissue imaging. BAIR supports users at every stage of the imaging process, from experimental design and sample preparation via in-depth training to developing complex automated imaging