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quantum media—and seeks to deepen our understanding of their behaviour in ultracold atomic gases and complex quantum materials. By harnessing ultracold atoms as highly controllable quantum simulators
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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request a copy of your CV together with a cover letter outlining your relevant qualifications, experience, research experience, and reasons for applying for the scholarship. Shortlisted applicants will be
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contribution to the group Curriculum vitae Transcripts of B.Sc. and M.Sc. (or equivalent), including grades Copy of M.Sc. (or equivalent) thesis or prior publications (if applicable) 1-2 letters of reference
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other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services
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-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and
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simulations with the Elmer/Ice model, actively participate in the analysis of multi-model results, and strengthen the visibility of the French contribution within the international effort. 3. Explore extreme
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for applying, and anticipated impact of your contribution to the group Curriculum vitae Transcripts of B.Sc. and M.Sc. (or equivalent), including grades Copy of M.Sc. (or equivalent) thesis or prior publications
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop