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                Employer- IRTA
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                methods (CASSFCF/NEVPT2). - Stage 2: Support in the analysis of molecular diffusion processes through membranes by means of molecular dynamics studies, oriented to optimize the response as MRI contrast 
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                , optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education 
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                coatings using techniques like electrodeposition and dip coating. •Develop and characterize porous TiO₂ and metal oxide thin films. •Establish and optimize 3D in vitro skin models for biological testing 
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                of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization techniques in sectors such as energy, air traffic 
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                : Synthesis and optimization of PLGA-based nanoparticles and enzymatic nanomotors. Drug loading/release studies in cellular models. Development of patient-derived mucus-secreting tumor-on-a-chip model 
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                foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret 
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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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                with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization 
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                learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing 
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                defect engineering in cerium oxide nanoparticles to optimize their redox activity and catalytic properties. This involves aqueous, room-temperature synthesis methods, advanced spectroscopic