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the following research problems in their PhD theses: 1) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning
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. The recruit will focus their work on one or more of the following sub-lines of work: low-resolution algorithms, model optimization with HPC techniques, edge computing, quantum computing, energy-efficient
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
team. The successful candidate will contribute to applied research, industry collaboration, and scientific dissemination in the agri-food sector, with a particular focus on meat products and animal-based
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the Job related to staff position within a Research Infrastructure? No Offer Description 1 Predoctoral researcher position in proyect: "OSIRIS: AI-based digital transformation to the agricultural
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merits, reach a minimum of 50 points. (punctuation: 15) Additional Information Benefits 2000 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website
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of the rectorate of this university dated 3 June 2022, the offer of public employment for teaching and research staff for the year 2022 was published (DOGV 13.06.2022). Based on the above, and in accordance with
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advanced metal manufacturing. The ideal candidate must have extensive experience in powder-based manufacturing technologies, including but not limited to advanced sintering and consolidation methods and
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𝗜𝗯𝗲𝗿𝘂𝘀 𝗜𝗻𝘁𝗲𝗿𝗱𝗼𝗰 program is looking for researchers to develop the doctoral thesis "Use of nanostructured lipid systems to design plant‐based foods with anti‐obesity properties", supervised by Olga
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. (punctuation: 15) Additional Information Benefits 1000 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https
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of merit-based recruitment and transparency (OTM-R), in accordance with the requirements of the HRS4R Seal. Additional comments Project CPP2021-008725 funded by MCIN/AEI /10.13039/501100011033 and by