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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in AI-assisted design for chiplet-oriented architectures, aiming to demonstrate secure intelligent
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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. Develop novel material formulations, spinning parameters, and device architectures to enhance sensing accuracy and thermal performance. Collaborate with internal and external stakeholders
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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Responsibilities: Collaborate on application-level and system-level architecture design for AI-oriented software-configurable NoC systems. Design reconfigurable on-chip communication components using emerging
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methods to generate complex conformational architectures relevant to sensing, catalysis, and materials science. Successful applicants will have responsibilities in designing, running and analysing synthetic
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 13th October 2025 Languages English English English PhD Research Fellow in geology Apply
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve
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, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain