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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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. The hard part is not the dies, but the interconnects between them. We are looking for a PhD student to create those interconnects in a fully additive way: laser micromachining, selective metallisation and
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of economics and management doctoral programme (https://www.ntnu.edu/ok/research/phd) Good oral and written presentation skills in English and/or Norwegian. PLEASE NOTE: For detailed information about what the
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-supervision to PhD students and postdoctoral researchers within the group, under the direction of the research leader. Contributing to the supervision of BSc and MSc thesis projects, where relevant
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the technical architecture, codebase, data pipelines, and deployment configuration, and provide a structured technical handover to support future development We welcome candidates who bring diverse perspectives
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. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ . We
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fields. We are looking for someone with hands-on experience in software architecture, AI-driven systems, and IT operations who thrives in a focused, high-ownership environment. Job Summary The Research
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relevant discipline (s.a. Computer Science, Statistics, Data Science, AI, Computational Linguistics, etc.) or demonstrated relevant work experience. A PhD would be highly regarded. We are also highly
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods