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for solids Mesh-dependency assessment in IBRA solid mechanics applications involving strain localization. According to WP 2021-2022 the candidates must comply the MSCA-DN eligibility criteria: Not having
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techniques and neural network techniques to adjust high-resolution X-ray spectra and infer physical properties of the emitting plasma. · Developing algorithms that optimise the adjustment of high-resolution X
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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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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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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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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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. 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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, 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