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position as Research Associate / PhD student (m/f/x) Integrating Material Flow Analysis and Digital Twin Approaches to Enable Material Autarky in the Construction Industry (subject to personal qualification
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on synaptic plasticity within genetically-defined neural circuits in the basal ganglia and thalamocortical networks. We combine patch clamp and in vivo electrophysiology, RNA-sequencing, biophysical modeling
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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detection or segmentation. Use of pre-trained state-of-the-art models like SAM 3 to generate annotations. Training models like YOLO, RT-DETR, Mask R-CNN. Analysis of existing datasets regarding the clothing
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/statistics, operations management/supply chain, python programming, computer networking, systems admin, digital innovation, systems analysis & design Optional (if available): Recent teaching evaluations
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policy and long-term care for older adults, including those living with dementia. Participate in clinical research in the nursing home setting. Contribute to data analysis, manuscript preparation, and
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
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a member of the team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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systems, neuroscience, and safety and security. The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford