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programming languages such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization, or decision analysis. Strong commitment to interdisciplinary education
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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develop a feedback interface integrating human natural sensory and robot’s artificial information. This will encompass mechatronics design, system integration, robotic control, computer vision algorithms
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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
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on the development of novel algorithms and tools that will benefit researchers at the University of Michigan and beyond. This is a unique opportunity to contribute to interdisciplinary collaborations, with a special
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that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM
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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative
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, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated