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Field
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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project “Utility Optimization in Quantum Networks: Algorithm Design and Analysis”, working with Dr
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 21 days ago
,” in accordance with the geographical distribution requirement; • The research field falls under Medicine and Pharmacy, but does not include STEP subfields; • Minimum age of 18 • Valid student
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points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3 points
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. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point
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. These data will be integrated into TemisFlow (Themis) thermal models to reconstruct the thermal and subsidence history of the basins. The modeling will quantify the distribution of heat flow during
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, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance
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Associate will be asked to: lead and conduct cost-effectiveness (CEA) and distributional or extended CEA (DCEA or ECEA) modelling, with a view to informing the optimal design of health insurance benefit
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance