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- Institute for bioengineering of Catalonia, IBEC
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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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structures for single photon emitters, a key component of the future quantum technologies that will revolutionize society. He/she will develop nanostructures by molecular beam epitaxy (MBE) and will perform
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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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related to quantum technologies, dilution refrigerators, resonant cavities, RF electronics (15 points). - Experience with cavity and RF component simulation work (10 points). - Experience in the assembly
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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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materials. Fabrication and characterization of complete perovskite solar cells. Tasks: Synthesis and functionalization of materials, especially Pb-free Metal Halide perovskites (MHPs), including all inorganic
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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