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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 7 hours ago
of Low Temperature and Structural Research of the Polish Academy of Sciences in Wroclaw in accordance with the information on personal data processing available at https://bip.intibs.pl/artykuly/rodo-1 Work Location(s
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relaying instructions to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, reviewing images for accuracy, and ensuring image quality by performing
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in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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. Group members lead a Large and Long Program at the Gemini Observatory targeting ultra-hot Jupiters. Prof. Jayawardhana is also a member of the JWST/NIRISS science team. In addition, with Drs. Aleks Scholz
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Medical Image Processing) of the Institute of Molecular Chemistry at the University of Burgundy aims to cover two essential areas in clinical imaging: the development and deployment of new imaging tracers
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Sciences departments and their faculty, staff and labs. You may expect to gain experience with computer imaging, hardware, operating system and software troubleshooting, network file and printer sharing
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& Performance section of the Department of Mechanical Engineering at Eindhoven University of Technology and closely collaborate with a second PhD candidate focusing on process-scale modelling. The project is
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques