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to the design, characterization and understanding of quantum organic, metal-organic and inorganic materials. To this aim, it counts with an excellent research infrastructure comprising three state-of-the-art
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molecular techniques: cloning, CRISPR/Cas systems, transfections/transductions, infectious clones, RNAseq, and phylogenetic analyses. Knowledge of advanced immunology methods for studying viral pathogenesis
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to consortium collaborators. Development, optimization, and implementation of novel quantitative proteomic methods. Direct supervision of a Research Technician supporting the group’s experimental activities
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory
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work with Prof. Jordi Cirera Fernandez in the use of electronic structure methods to study the electronic structure of these systems and its potential integration in nanoscale memory devices
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research stays and at least one first-author publication in a journal with a two-digit impact factor are valued. Candidates must not have defended their PhD thesis in the Department of Pharmacology
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models
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Inverse problems and statistical signal processing Knowledge in optical sensing methods LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelGood Research FieldEngineering » Communication engineeringYears
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knowledge of statistical methods applied to large biological datasets. (0-10) Thematic and Laboratory Experience (Knowledge of the Area) (0-15) o Immunology and Cancer: Previous experience in research
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email to the address victor.verdejo@upf.edu with the documents signed with a digital certificate. If this method is not chosen, it is recommended to send an email to the specified address indicating by