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, analyzing patterns across different livelihood systems, such as hunter-gatherers, animal herders and subsistence farmers in different parts of the world. This research addresses a critical gap in
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
. Please refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html
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diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training
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on the design and planning of production and logistics systems, seen as integrated systems of people, materials and products, information, equipment, and energy and environmental resources. The research group
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, and validating methods for synthetic data generation that enable secure and trustworthy data sharing and exchange for learning applications. The fellow will design approaches that ensure high data
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methods such as Minkowski functionals, Voronoi-based density analyses, and modern cluster and pattern recognition techniques. Your goal is to precisely capture the structural characteristics of crowds and
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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. Please refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Where to apply Website
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cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship
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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd