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for next-generation (6G) communication systems. The project focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable
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● Completing a PhD Dissertation in Sociology at the Centre for Research on Social Inequality (CRIS), Sciences Po, Paris within the remit of the ERC LEARN project Where to apply Website https://www.sciencespo.fr
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learning Supervisors: Prof. Anneli Kruve (main supervisor); Prof. Jonathan W. Martin (co-supervisor) This project aims to discover toxic and structurally novel chemicals in high resolution mass spectrometric
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and
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programming languages; Ability to learn independently and passion for research. What do we offer you? You will be employed by NLR as a PhD candidate at NLR Amsterdam. NLR offers you a 4-year research contract
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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Religious Devotion project (CREDO; see https://www.levyna.cz/en/about-us/research/credo-project ) is a five-year project (2024-2028) funded by the Czech Science Foundation and is based at Masaryk University