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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration
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on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as
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complex than those of any other planet in the Solar System, covering a frequency range from kilohertz to tens of megahertz and comprising half a dozen components. Their generation is very sensitive
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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, preparing them for impactful careers in research, technology, and beyond. If you’re excited by the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
optimizing complex systems across a wide range of domains, from industrial manufacturing and energy to environmental monitoring and healthcare. The Engineering Digital Twin EDT program , funded by the France
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formulate research questions at the intersection of AI, EO and advanced computing Develop and investigate AI methods for multisource EO data, exploring approaches such as geospatial foundation models and