87 machine "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD research jobs
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ScienceCountryRomaniaCityCluj-NapocaGeofield Contact City Cluj-Napoca Website http://www.ubbcluj.ro/ Street St. M. Kogalniceanu nr. 1 Postal Code 400084 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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the description and dissemination of results through the preparation of scientific papers and their presentation at scientific meetings. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578
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/Qualifications Bachelor's or Master's degree in a field that enables computational analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering
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and advanced machine learning. The project will integrate measurements from the SWOT satellite mission with Oxford's Global River Topology (GRIT) hydrography to develop verified, uncertainty-aware