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• Programming skills (e.g., Python, MATLAB, R) • Experience with AI/ML methods or power system modelling Conditional Offer The award of the PHAETHON PhD Studentship is strictly conditional upon the candidate’s
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theoretical simulations. Develop automated flow and microfluidic setups for real-time reaction optimisation and continuous production. Where to apply Website https://apply.refline.ch/673278/3884
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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Offer Description Scope of work The successful PhD candidates will be part of the group created by dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033
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collaboratively with several graduate and undergraduate students. You will benefit from close interaction with semiconductor partners, including ASML. Where to apply Website https://www.academictransfer.com/en/jobs
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chapter and contribute to other writing projects as required due to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en
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recrystallization and control nucleation for biomedical applications in e.g. heart and kidney cryopreservation. Where to apply Website https://www.academictransfer.com/en/jobs/359905/phd-in-de-novo-design-of-ice-bi
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in