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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 2 months ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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activities on campus Eligibility criteria PhD in genetics, or bioinformatics, or data science, or biostatistics Cover letter, CV, Recommendation letter and contact if possible Selection process Deadline
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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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. The first mission of the postdoctoral fellow is therefore to process the RAD-seq data and combine them with the existing dataset. The postdoctoral fellow will then use this combined dataset to estimate recent
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. - Knowledge of linear/mixed models is a plus. - Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. - Experience with the processing of genomic biological data (whole exome
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lethal interactions as new therapeutic strategies for tumours defective in DNA repair or epigenetic processes. Our team closely collaborates with the Drug Development Department and the sarcoma committee
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leading experts across the whole of Europe in statistical and medical genetics. The postdoc will also help in the recruitment process of the ~17,000 individual genomes that France will contribute to the GoE
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summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff, around a hundred PhD students and 70 other
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identify the morphogenetic processes underlying skeletal muscle growth and regeneration. Oversee and conducting innovative pipelines. As part of this research project, you will be required to: - Develop and