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Field
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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context, we address this question by deciphering behavioural evolution in a cave-dwelling, dark-adapted blind cavefish (Astyanax mexicanus). By comparing the swimming behaviour of blind cavefish with
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the ASTRID ProCoPe project (Collective Processes for Power Components), led by the III-V Lab, which aims to fabricate power components with diamond heat sinks, based on Gallium Nitride (GaN), and to develop
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. The research carried out at IC2MP is part of a comprehensive eco-design approach (see: https://ic2mp.labo.univ-poitiers.fr/ ) that includes the design and development of active materials for energy conversion
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
substitution of raw materials with waste has an interest already demonstrated by recent documented studies. Based on the principles of a circular economy, the objective of this Ph. D. thesis is to develop
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project involving 18 partners across Europe (https://www.bestcrop.eu/ ), which aims to contribute to the development of the circular economy by providing new high-yield barley varieties (perspective article
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develop an “inflammation on a chip” device, designed to host, monitor and electrically guide monocytes to macrophage differentiation. This device will take advantage of a multidisciplinary approach, by
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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a Research Software Engineer (RSE) to support the development of advanced opensource tools at the interface of computational