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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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collaborative network. Requirements for candidates: Essential: Ph.D. in Biochemistry, Molecular Oncology, Biomedical Engineering, Biomaterials, or related fields. At least 12 years since PhD defense. This date
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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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part of an international network of 13 research labs located throughout Europe who work on the EU funded HUM.AI.N-ACCENT project. The full consortium count with a total of 24 academic and non-academic
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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
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, Communications, Networks, Computing and Software. UPM-IPTC has a sustained record of involvement in numerous competitive projects (e.g. more than 100 per year), contracted research and an extensive experience
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. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be
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related to staff position within a Research Infrastructure? No Offer Description The Public University of Navarre (UPNA) offers 1 fully funded PhD position in the MSCA Doctoral Network FINALITY (saFe
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scientific education. a strong international nanoscience network. Eligibility criteria Holding a MSc degree and not having already a previous PhD degree Selection process How to apply The selection process