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Field
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for: Inferring causal networks from Perturb-seq (interventional single
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network coding. The position is initially limited to four years and an extension is possible. The project already started at February 1st, 2022. Content of the project and areas of responsibility
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for MIMO networks including massive MIMO, multi-user MIMO and distributed MIMO. Preferred Qualifications • Strong coding/programming skill (e.g., Python, C++, etc). • Experience with O-RAN. • Experience
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Job Title Postdoctoral Research Associate - Social Networks Agency Texas A&M University Department Teaching, Learning And Culture (Tlac) Proposed Minimum Salary Commensurate Job Location College
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). Key research
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) Starting Grant project entitled "Competition in the Digital Era: Geopolitics and Technology in the XXI Century (CODE)” . CODE examines technological competition between China, the United States (US) and
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knowledge and skills in the following areas: Life cycle analysis (in-house training possible at the start of the contract) Digital system consumption Networks and telecommunications Audio and video coding
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communication skills Strong analytical and problem-solving skills Intermediate to advanced coding skills in R or Python The ability to collaborate effectively with a diverse team Preferred qualifications include