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from your MSc/PhD degrees. Contact details for three referees. A copy of your PhD thesis will be appreciated. You can … Where to apply Website https://www.academictransfer.com/en/jobs/358102/postdoc
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theoretical foundations of modern learning algorithms. The position will be supervised by Florence d’Alché-Buc, Charlotte Laclau, and with Rémi Flamary and Karim Lounici from École Polytechnique
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giving academic presentations. *Trained as a theorist in either condensed matter (CM), atomic, molecular and optical (AMO) physics or in quantum information theory. *Interested in quantum algorithm and
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research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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information theory. Interested in quantum algorithm and quantum informatic research that cuts across the different subareas of physics. Able to work closely and communicate effectively with colleagues focused
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lasers with high-average and high-peak power Building of optical cavities Running existing simulation codes in Julia and processing their results. Helping to develop new models and algorithms to simulate
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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in Quantum Information or Quantum Computing at the time of enrollment, and have experience and skills in algorithm design and implementation