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full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided
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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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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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, including: infant and pediatric EEGs, setup and review for Dense Array, inpatient and outpatient testing Operate imaging equipment for assigned procedures, under direct supervision of the technologist
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) year of related research experience, data analysis, data management or computer coding. Certifications/Licenses Required Knowledge, Skills, and Abilities The incumbent must also have good interpersonal
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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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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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, 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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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