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track, benefits-eligible research positions in the Alfred E. Mann Department of Biomedical Engineering (https://bme.usc.edu/( opens in new window) ). All candidates are expected to have a strong
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) are implemented. The results of the selection will be announced on the website of IMBB-FORTH. Applicants have the right to appeal the selection decision, by addressing their written objection to the IMBB
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) simulations. You are keen to learn new techniques for the development of machine learning interatomic potentials for MD simulations. You have a strong academic track record, as evident from your Master's thesis
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materials. This PhD project is part of an original research-creation initiative combining engineering, life sciences and design. Its objective is to develop innovative experimental models to investigate
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recruitment process. At the same time, I declare that I have been informed of my rights to access and rectify my personal data, request their erasure, restrict their processing, data portability, object
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
(classes and properties) from different ontologies. At the data level, linking keys define sufficient conditions for identifying resources from different knowledge graphs. Thesis Objectives Digital twins
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to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
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, such as programming, documentation, and vulnerability detection, their adoption for other tasks such as software architecture design, or safety and hazard analysis, is still limited. The objective
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water treatment systems. 2. Thesis Objectives This three-year thesis, funded by the CNRS (French National Centre for Scientific Research), will be conducted primarily at the GEPEA laboratory (UMR CNRS
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or vanish over centuries? In this position, you will develop, evaluate, and fine-tune cutting-edge AI methods—LLMs, word embeddings, and clustering—to track how word meanings evolve across multilingual