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you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge
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of Dr Zeldenrust, is to design an experimental approach to distinguish between these two theoretical approaches. Measuring error signals in neural tissue is experimentally challenging. Therefore, a direct
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develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase
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designs of AI systems should be assessed during the design phase. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in
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advanced motion planning algorithms with machine learning techniques, such as reinforcement learning, imitation learning, and task generalization. You will focus on designing intelligent robotic systems
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environments that stimulate physical activity and mitigate heat stress. This may be achieved through the design, implementation and evaluation of spatial interventions in a variety of settings, including
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of Build4Health is to develop an evidence-based framework for creating healthy living environments that stimulate physical activity and mitigate heat stress. This may be achieved through the design, implementation
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that stimulate physical activity and mitigate heat stress. This may be achieved through the design, implementation and evaluation of spatial interventions in a variety of settings, including existing residential
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glycans help maintaining a healthy immune system and how changes in the sugar pattern may lead to inflammation and inflammatory bowel diseases is unknown. This project funded by the Dutch Research Council
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experimental design). By examining the prevalent strategies in the context of requests and refusals and their impact on perceived social safety, this study aims to contribute valuable insights