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coordinated by Prof. Isabelle Boutron (Université Paris Cité – Inserm, CRESS). Background : Evidence-based clinical practice guidelines (CPGs) are essential tools in patient care, yet only 10 to 20
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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 4 hours ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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in the laboratory For further information, please contact Prof. Stephanie Kreis: Your profile Bachelor or Master Degree in Biological Sciences or related discipline Previous professional experience as
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projected new Master's programme and to teach within the doctoral and lifelong learning programmes of the university For further information about the role, please contact: Prof. Dr. Boris Traue, Director of
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of the university For further information about the role, please contact: Prof. Dr. Boris Traue Email: Your profile A doctorate in sociology, social work, education, anthropology or related fields A minimum of three
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interdisciplinary, and together we contribute to science and society. Your role You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB
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interdisciplinary, and together we contribute to science and society. Your role The successful candidate will join the recently established Chemical and Molecular Neurobiology group, led by Associate Prof. Ivana
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, France) and at the ESRF ID12 beamline (Grenoble, France), under the co-supervision of Prof. Olivier Isnard (Néel Institute) and Dr. Fabrice Wilhelm (ESRF). This PhD project is co-funded by University