149 web-programmer-developer-"https:"-"UCL"-"U.S"-"Fraunhofer-Gesellschaft"-"https:" positions in France
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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and synthetic kerosene), is one of the solutions envisioned to decarbonise certain sectors such as the steel industry and sea and air transport. The development of a European hydrogen transport network
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opportunities in IBD? Your role: As a postdoctoral researcher, you will: – Lead and develop a research project within the framework of this ANR project. – Investigate cellular and molecular mechanisms underlying
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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ambitious research program in functional genomics with the potential to interact with and complement the existing strengths of IBENS. Projects incorporating experimental research will be of particular
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particularly attractive for developing new approaches and extracting meaningful insights. The position also emphasizes scientific dissemination, with the clear objective of preparing high-quality publications
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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. Along with disciplinary approaches, a very ambitious interdisciplinary research culture has been developed. The Faculty's research and teaching focuses on social, economic, political and educational
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. The approach used relies on developing machine-learning interatomic potentials based on ab initio calculations, which are then employed to perform large-scale classical molecular dynamics simulations. However