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Field
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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her team with the NHMRC funded Synergy grant. The Synergy Grant aims "to carry out world-leading cross-disciplinary research integrating health literacy with health AI technology development and
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with a PhD in Experimental Physics, Electronic Engineering, Microelectronics, or a closely related discipline, together with proven expertise in ASIC design in either analogue/mixed-signal or digital
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electrophysiology calcium imaging confocal and fluorescence microscopy immunohistochemistry and quantitative image analysis molecular cloning and viral vector design stereotaxic surgery and viral delivery primary
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14 Aug 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Energy and Process Engineering Research Field Engineering » Thermal
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge