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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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data science expertise (e.g. Python, optimization strategies, RL) 30% Research question design and literature review, with focus on Drosophila biomechanics and neuroscience 10% Manuscript writing and
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software infrastructure necessary to bring cutting-edge machine intelligence from simulation into the physical world. Key Responsibilities: • Develop, optimize, and maintain data pipelines for processing
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managing the operation and maintenance of audio, video, and computer systems in a networked environment, encompassing desktops, laptops, media control systems, and instructional technology. The role involves
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managing the operation and maintenance of audio, video, and computer systems in a networked environment, encompassing desktops, laptops, media control systems, and instructional technology. The role involves
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position. Visiting positions are based on circumstances, such as funding sources, which control the length of time for which the position is available. Visiting positions are renewable for up to four years
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controls, workload orchestration, and cloud-based services to ensure reliable, scalable, and secure operation of technology platforms. Leads the development, governance, and continuous improvement
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, optimizing performance, and collaborating with product managers, engineers, and QA teams to deliver high-quality solutions. Participation in code reviews and adherence to software development best practices
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twins, optimization, and control. In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory
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, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware control, network optimization, or joint communication and sensing is highly