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and collaborative group that spans clinicians, pathologists, computational and cancer biologists. You will receive extensive training in cancer pathology, highly multiplexed imaging, and predictive
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degree (Bachelor’s) in Biomedical Sciences, Biology, Biochemistry, Biotechnology or a related field in the life or health sciences. Official university Master’s degree providing access to a PhD programme
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of the following areas is an asset: fluid dynamics, droplet impact, multiphase flow, heat transfer, phase change, high-speed imaging, vacuum systems, optical diagnostics, or surface science. Experience
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: General mammalian cell culture hiPSC culture and cardiac differentiation Molecular biology (RNA extraction, RT, qPCR) IF staining and imaging (inc. image processing and quantitative analysis of features
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HIGHLIGHTS Under the direction of a radiologist, the CT Technologist performs COMPUTED TOMOGRAPHY examinations accurately, independently, and efficiently. DEPARTMENT DESCRIPTION Advanced imaging and diagnostic
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 3 days ago
vision. The main technology to be developed under this program will be a novel robotic system for delivering drugs to the eye and performing a tissue biopsy, in which a robotic system will assist
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Life Support certification via AHA within 90 days of hire Physical Requirements The physical requirements for this position include regularly sitting at computer workstation for extended periods
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19 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire Navier Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher Profile First Stage
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
research across a wide range of fields such as plasma science, plasma fusion physics, data science and engineering, magnetics and nuclear magnetic imaging, cryogenics, and geothermal engineering. The PSFC
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-0157/25], carried out under the First Team programme of the Foundation for Polish Science, co-financed by the European Union under the European Funds for Smart Economy 2021–2027 (FENG). Quantitative