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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related field. Solid background in digital IC
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, physics, electrical engineering, applied physics, bioengineering, biomedical engineering, computer science or in a related science and knowledge of, or experience with, the basic techniques or methods
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 10 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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14 Feb 2026 Job Information Organisation/Company CNRS - Observatoire de Paris-Meudon Research Field Technology Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading
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Sciences and Technology (CMAST), a coastal and marine science research facility located on Bogue Sound in Morehead City, NC (http://www.cmast.ncsu.edu), and MEAS faculty participate in the Center