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carbon-based nanomaterials in UHV. Investigation of their structural, electronic and magnetic properties by STM, STS and nc-AFM. Exploring reactivity under different chemical environments. Decoupling
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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) or closely related field. Process simulation : Aspen HYSYS/Plus. Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. Life Cycle Assessment (LCA): experience with, e.g
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clinical nutrition strategies using 3D technologies and innovative study models. It includes a human clinical trial aimed at evaluating the efficacy and safety of advanced nutritional interventions in celiac
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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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thalamocortical networks in humans and elucidate their critical roles in cognitive functioning, as well as in developmental and neurodegenerative disorders, thereby advancing our understanding of brain health and
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BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 117626 Where to apply Website https://www.upv.es/entidades/vinv/download/27294 Requirements Research FieldCommunication sciencesEducation
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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, data analysis, and network measurement. In fact, the Ph.D. candidate contributions will advance our ability to detect and understand how users are tracked across devices, apps, and ecosystems, providing