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to demonstrate expertise in generative AI systems and prompt engineering, with a deep understanding of how to manipulate digital systems to produce high-quality creative results. Applicants will be able
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or nearing completion) in Computational Fluid Mechanics, or a closely related physical science/engineering field (or equivalent relevant
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Funding category: Contrat doctoral Susceptible d’être financé par le laboratoire PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136924 Requirements
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or equivalent Skills/Qualifications The postdoctoral candidate should have a PhD diploma in material sciences or civil engineering, with an important knowledge in cementitious materials, formulation and
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT
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software engines into a unified DAT toolchain, ensuring compliance with industrial EDA standards. Job requirements MSc or PhD in Electrical Engineering, Computer Engineering, or a closely related field
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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, potentially negatively impacting user efficiency. Thesis Objectives The objective of this PhD is to investigate how transitions between the physical referent (PR) and the digital replica (DR) of a Digital Twin