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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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23 Jan 2026 Job Information Organisation/Company National Institute of Information and Communications Technology Research Field Technology Computer science Information science Engineering Researcher
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, Osaka Center for Information and Neural Networks - Nihonbashi, Tokyo Innovation Center - Sendai, Miyagi Resilient ICT Research Center - Kashima, Ibaraki Kashima Space Technology Center - Nomi, Ishikawa
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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trabajo - Nivel de ingles avanzado escrito y hablado. - Se valorarán estudios de postgrados relacionados con Sistemas Distribuidos -Degree in Software Engineering - Experience in network development and
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international networks, participate in conferences and engage in exchange programmes abroad. More information about the graduate school and its research profile (in Swedish): https://www.kau.se/rose
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23 Jan 2026 Job Information Organisation/Company National Institute of Information and Communications Technology Research Field Information science Computer science Engineering Technology Researcher
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Develop methods and workflows to construct robust co-regulation networks from large
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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology