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                Employer- ICN2
- Universitat de Barcelona
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                . Our group combines state-of-the-art methods in experimental ultrafast spectroscopy and molecular dynamics simulations: We develop and apply novel ultrafast spectroscopic methods aimed at uncovering how 
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                possession of the doctor's degree at the time of the formalization of the contract. Additional comments Duration of the contract of employment: 12 months, renewable (in 12 months periods) until the project’s 
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                photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton 
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                sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining 
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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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                broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted 
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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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                letter • Registration form online GAIA *Be in possession of the doctor's degree at the time of the formalization of the contract Additional comments Duration of the contract of employment: 12 months, not 
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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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                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