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Field
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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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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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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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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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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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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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European monitoring of plant-pollinator interactions; https://seppi-pollinate.weebly.com ) initiative, extending its proven hardware and software frameworks into the challenging and complex nocturnal
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
of the proposed research subject : A state of the art, bibliography and scientific references are available at the following URL: https://vincentgaudilliere.github.io/files