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Field
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | about 1 month ago
Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: This project
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-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: Recent advances in
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to job content Ability to work independently and as part of a team on complex research tasks Ability to clearly articulate research results Ability to present the results of own research Ability to publish
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complex research tasks Ability to clearly articulate research results Ability to present the results of own research Ability to publish independently Networking skills Team spirit The advantage is knowledge
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mathematics, physics, engineering or subsurface flow modelling. Enthusiasm, willingness to learn, and the ability to think creatively about complex physical systems are just as important as specific technical
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Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX) made possible thanks to the European Research Council. Join our ERC SPHINX Team to elicit how people and businesses
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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to your scientific support – ideally with you on board! RESPONSIBILITIES: The mission of the Ziller lab is to develop and apply novel strategies to dissect the genetic and epigenetic basis of complex
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these vehicles. Beyond understanding how noise propagates through complex urban settings, there is a growing need for accurate methods to localize and identify airborne noise sources for regulation, monitoring