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evolutionary). The project aims to approximate a Boltzmann distribution associated with an objective function that is difficult to optimize in order to solve complex optimization problems. This probabilistic
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-relational technologies such as SQL/PLSQL, MongoDB and graph databases (e.g., Neo4J). Proven experience in design and development of networked applications and distributed systems. Knowledge of computer
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zero-touch management Distributed intelligence in the edge–cloud continuum Network digital twins for predictive optimization 6GApps and network‑application frameworks Open RAN, programmable network
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of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven methods for estimating
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition
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1 Postdoctoral Researcher position. Part-time 31 hours/month distributed unequally, gross hourly salary of 240,00 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all
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of geological features. Such a strategy seems appealing since it could estimate connections in occluded areas (e.g., under vegetation) by learning the global distribution of fault patterns. To address this issue