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/Linux environment; - Good command of scientific English, both written and spoken (certified level). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7285-CARNOE-068/Default.aspx
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements Requirements PhD degree in in machine learning, automatic control, system identification, signal
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evaluating adaptive Medium Access Control (MAC) and network‑layer protocols to enhance performance in shared spectrum environments. Developing AI‑driven methods for real‑time interference prediction and
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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and sophisticated planning capabilities by enabling an agent to learn a predictive model of its environment. However, the direct application of current MBRL methods to safety-critical domains, such as
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: Prof. Stephanie Pfänder) https://www.leibniz-liv.de/forschung/forschungseinheiten/emerging-viruses . Candidate requirements: PhD in a relevant field (virology, immunology, molecular and cell biology
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Infrastructure? No Offer Description The project is funded by NCN under the SONATA-BIS 13 program, project titled: “Tests of the Standard Model predictions with rare light meson decays and the HADES@GSI
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data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental, and molecular data, aimed at predicting health
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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an excellent command of English. A PhD in physics, chemistry, or related sciences. Short description of future research plans (only required when invited for an interview). International experience (eg