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Field
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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sensing, analytical chemistry, materials characterization, organic synthesis, nanomaterials, environmental monitoring, or water quality research. Equipment Use of personal computer and proficiency in
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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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-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they currently lack reliable uncertainty estimates, limiting error
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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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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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the subject. The following, among others, will be considered very highly relevant subjects: Operating Systems, Networks, Infrastructure Management, Internet and Distributed Systems, Concurrency and Parallelism
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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