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to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position (applies to university PhD positions): About the PhD Research Fellow position
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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; background in MR physics with knowledge in pulse sequence programming and considerable experience in AI / ML based techniques; background in medical systems / medical image processing and data acquisition and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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Research Infrastructure? No Offer Description SENIOR POSTDOC/PRINCIPAL INVESTIGATOR POSITION IN 7 TESLA MRI RESEARCH (H/F/X) DOMAIN: NEUROIMAGING – 7 TESLA MRI GIGA-CRC Human Imaging – University of Liège
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to identify, map, and measure in airborne and satellite images of the Earth, the natural and socio-environmental hazards and risks studied in IRIMA(earthquakes, tsunamis, volcanic eruptions, landslides
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing