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these concepts and discuss their application in Haute-Savoie. Conduct an interdisciplinary literature review (ecology, geography, social sciences, digital sciences) on the methodologies used to measure the impacts
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supervised by Julien BASTIN (Inserm Research Director), director of the GIN's 'Brain, Behaviour and Neuromodulation' team. This multidisciplinary team brings together researchers, clinicians, engineers
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project FBCUBES (France-Brazil Collaboration on Universal Behavior of Exotic Nuclear Systems) and contribute to one of its core work packages. The position focuses on developing and applying the No-Core
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
simulation plan and conduct simulations with the Phoreau model, to reach the identified objectives. They will also have to establish transfer functions between model outputs and forest contributions, and carry
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
to build up a deep understanding on the electrochemical behaviour of the produced thin films and develop strategies to enhance their functional properties. The postdoctoral researcher, integrated to a very
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host 10 outstanding postdoctoral researchers, who will conduct research across a broad spectrum of disciplines within the domains of physical sciences and engineering, life sciences and social sciences
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) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic
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Information Eligibility criteria Skills: - PhD in theoretical computer science or a related field - Ability to conduct a research project independently - Writing scientific papers and presenting work in
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi
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generalization behaviors. Design data-driven recommendation mechanisms, based on the results of the framework, for (i) dataset creators, to guide diversity-sensitive and quality-oriented generation or collection