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-motivated, have the ability to think independently, use own initiative, have good communications skills and be well-organised including good time management. Experience in biomechanics and/or image processing
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conferences. - Co-supervision of PhD students and students carrying out tasks related to the project. Project manager: dr hab. Piotr Kolenderski, prof. UMK Project title: "Advancing light-based imaging using
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Portuguese or English. II – Submission of applications: 1 — Applications must be submitted exclusively via the electronic platform https://apply.fcsh.unl.pt/ by selecting the relevant application procedure
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, including the Far-Infrared Probe concept, PRIMA. We particularly encourage applicants with interests in processing and analysis of large data sets, development of scientific software, data pipelines, applied
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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organizational and record-keeping skills. Computer skills in both Mac and PC environments, including use of standard programs, e.g. Word and Excel, as well as imaging programs and online interfaces. Ability
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advanced diagnostic imaging including CT/MRI capabilities. Five OR suites accommodate orthopedic, soft tissue, and colic cases as well as separate standing surgery suites for laparoscopy/laser surgery and
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Position Information Posting Number F00797P Position Title Assistant Professor in Mathematics - Inverse Problems & Imaging Department Mathematics Location Arlington Job Family Faculty Position
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Location Lexington, KY Grade Level 46 Salary Range $53,061-87,526/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
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sources, optical metrology, microscopy, and wavebased information processing. This project is part of the CHAIN consortium. CHAIN (Coherent Algorith-based Imaging of Nanostructures) brings together experts