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for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
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LanguagesENGLISHLevelExcellent Research FieldEnvironmental science Additional Information Additional comments Reference: 2025PILIFRUA140 Programmes: ERC SYNERGY Project: 101071647 — REAL — ERC-2022-SYG You will find the bases
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request to withdraw from the process. Otherwise, as soon as it is detected that they do not comply with all the requirements, they will be excluded from the process. Third. Submission of applications. By
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detected that they do not comply with all the requirements, they will be excluded from the process. Third. Submission of applications. By submitting their application, candidates confirm that the information
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to file a request to withdraw from the process. Otherwise, as soon as it is detected that they do not comply with all the requirements, they will be excluded from the process. Third. Submission
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units supported by companies and research institutions: 1 point per month, up to a maximum of 10 points. Experience in previous positions related to the object of this call: 2 points per month, up to 15
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | about 1 month ago
or erasure, restriction of processing, objection, portability, as well as not to be subject to decisions based solely on the automated processing of your data. You may exercise your rights by sending an email
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one of the Group's main objectives. The job is framed within a recently granted national Proof-of-Concept project (PDC2023-145891-I00) funded by MCIU/AEI/ 10.13039/501100011033 and by the European Union
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, combining cutting-edge electromagnetic design, signal-processing techniques, and hardware prototyping to enable high-capacity, low-latency THz links. Objectives: To design superdirective and
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research group/supervisor from the list available in CINBIO’s website, as well as envisioned secondments, their objectives, extent, and benefits for the candidate’s career; 3) a summarized data management