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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 3 hours ago
networking with IMPRS-PHDS's national and international partners Alumni administration Creation and analysis of evaluations Scientific reporting What you should bring: Successfully completed university degree
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research
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odolnosť, minimalizovať systémové riziká a podporiť udržateľnú transformáciu agropotravinových trhov. More information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https
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For questions regarding the recruitment process, please contact: HR-Advisor Live Lindgård, email: liverl@usn.no Website for additional job details https://www.jobbnorge.no/en/available-jobs/job/297126/phd
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State research institute Center for Physical Sciences and Technology | Lithuania | about 10 hours ago
investigation methods for the fabrication and characterization of new functional materials. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026-research-topics/ Requirements Research
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is supported by the ANR project Data2Laws, part of the PEPR
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence