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Online applications must be received before 11:59pm on: August 11, 2025 If a date is not listed above, review the Applicant Instructions below for more details. Available Title(s): 1137-YN_ADMINPRO
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use
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; Associated processing, mitigation, retrieval, correction and calibration algorithms for product generation. For remote sensing this includes algorithmic developments relevant to Lvl1 and Lvl2 ground processing
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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, metadata creation, and performance tracking. • Able to work across teams to align SEO with broader marketing and content goals. • Ability to stays current with evolving SEO trends and algorithm changes
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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The AI Engineer will be responsible for designing
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data