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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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, Spain [map ] Subject Areas: High-Energy Theory / Collider physics , Neutrino physics , Particle Physics , Astroparticle Physics High Energy Physics / BSM new physics , Experiment , Experimental , Higgs
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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, Physics, Computational Chemistry, Nanoscience, Chemical Engineering, or a related field. Strong background in modelling (electro)catalytic processes using periodic density functional theory (DFT) is
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Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis
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networks and transformers. Practical experience with density functional theory (setups, convergence, interpreting outputs). Strong Python and deep-learning stack (preferably PyTorch); good software practices
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the development of resilient and inclusive food sharing economies, identifying drivers and implementation gaps and challenging existing theories and practices which currently constrain sustainable food sharing. Job