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Field
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Infrastructure? No Offer Description Mission: Develop optoelectronic devices based on elemental Se. Functions to be developed: Model the architecture of the devices. Develop selective contacts for ALD. Design new
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GGSolutions. The successful applicant is expected to conduct independent research on the monitoring of emerging pollutants in aquatic and biota samples through advanced analytical methods. This includes
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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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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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effects) and metagenomics (microbiome profiling using deep shotgun sequencing data, detecting horizontal transmission). We are mostly computational but have a small lab component and work in close
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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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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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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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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