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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 2 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R
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plasticity in the organoid reshapes functional connectivity during learning. The aim is both to advance OI as a computing paradigm and to use it as a window onto the cellular and network correlates of learning
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
wall motion will be extracted from dynamic 4D flow MRI (20 phases per cycle) via an in-house deep learning-based segmentation tool. Mean flow velocities in the pulmonary veins have also been measured by
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in the field of operational research and/or machine learning algorithms would be a plus. In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is
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understandings of research and research skills through formal and informal learning opportunities. Within this overarching area, the precise focus of the PhD thesis will be discussed and defined in dialogue with
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) to join our team and contribute to ongoing research projects. Key Accountabilities Acquire technical and theoretical knowledge through close supervision and training; Perform cell culture and image-based
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of language learning and experience of doing qualitative research Ability to work in a multidisciplinary research environment Good analytical and problem-solving skills Experience of and interest in
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possess expertise in a broad range of topics in condensed matter, including magnetism, superconductivity, topological matter, and low-dimensional quantum matter. The candidate will learn and master a
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, and computer science). We do not expect any single person to be an expert across all these fields, but you must be open to learning about and embracing challenges in fields you may not yet have been
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expect any single person to be an expert across all these fields, but you must be open to learning about and embracing challenges in fields you may not yet have been working with. We thus warmly encourage