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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The scientific activity will deal with SAR image processing and analysis
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in a college office setting or university office setting, preferably an Admissions or Registrar’s office. Experience working with computer software applications such as Microsoft Office. Additional
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 26 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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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, video analytics, computer vision, pattern recognition, and digital image processing. Applicants must hold a Ph.D. in a relevant computer science discipline and should demonstrate strong academic training
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, including functional Magnetic Resonance Imaging (fMRI), functional Ultrasound Imaging (fUSi), and computational modelling of emotion-related behaviours. This is a full-time, fixed-term position starting
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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installed Siemens NAEOTOM Alpha® photon-counting CT. - A planar gamma camera linked to a MIE computer, isolation facilities for radioiodine therapy. - Four ultrasound units (Samsung RS85 x2, Philips Epiq5
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 28 days ago
safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and Multiscale Measurement Techniques for Hydrodynamic
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astrophysics previously! Candidates should hold a Master’s degree in Physics or Astrophysics, Optics, or computer science, with an interest in instrumentation, experimental work or signal processing. Experience