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universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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teaching network. Support key events and collaborate with the School of Medicine and Faculty’s Events officers on large-scale events. Ensure clients’ web presence reflects best practices and latest McGill
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commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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genes and molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, Where to apply E-mail [email protected] Requirements Research FieldPsychological sciencesEducation
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this project, you will develop the next generation of robot VLA and world models. By combining optimizations such as quantization, pruning and distillation, we aim to build models that can be deployed on real
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) working on a wearable sensor development project. This project aims to develop a Wearable Sensor Network that integrates wireless, miniaturized sensors to measure physiological parameters across multiple
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conducting high quality scientific research. The University cooperates with major industrial partners in Poland and abroad, develops modern technologies, and participates in international research networks. As
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incentives, network constraints, and regulatory decisions in shaping collective outcomes. Identifying optimal designs and interventions is further complicated by multiple, often competing, objectives