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of Biomedicine, under the following conditions: 1. Scientific Area: Life and Health Sciences, Biomedical Engineering, Computer Science, Mathematics and other related areas. 2. Financing Source Funded by FEDER
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interaction, social networks, fairness, and data ethics. Our research is rooted in fundamental science and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design
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Code76821Street1 rue TesnièreGeofield Contact City Mont-Saint-Aignan Cedex Website https://www.univ-rouen.fr/etablissement/structures-de-formation-et-de-recherche/unites-de-recherche-et-de-service/carmen-institut-de
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support staff and evaluate the work performance of incumbents. Performs other duties as assigned. Knowledge, Skills, and Abilities: Knowledge of the principles and practices of mathematics and statistics
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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science and industrial groups About you: PhD in physics, mathematics, quantum information or similar fields Knowledge in Quantum Computing Experience in the analysis and simulation of experiments in
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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Network “A Coherent Analysis Framework for Emergence in Biological Systems” (CAFE-BIO) on the project “Proliferating active media”, which aims to investigate the interactions between different forms
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g
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) Mathematical analysis and modelling of data and formatting of figures. 7) Monitoring and maintenance of the team's equipment. 8) Training and supervision of PhD and Master's students if necessary. Created on 1