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Field
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certification within the scope of the aforementioned project, and carrying out the following tasks: Analysing the requirements and designing the AI-based software platform for the optimisation of energy
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional
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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS
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journals of the first decile. Researchers from our institute have shown their participation in national and international scientific networks, with more than 81% of the total number of papers published in
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and
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person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential: Ph.D with postdoctoral experience in
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projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5
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supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing