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for our multidisciplinary research focusing on transportation safety and mobility (http://umtri.umich.edu ). Established in 1965, we maintain the highest standards of excellence as we conduct research
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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/ ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation
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LIST? Check our website: https://www.list.lu/ How will you contribute? The Post-Doc researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait
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beamline Publish results in scientific journals and present findings at international conferences Where to apply Website https://apply.refline.ch/673278/3854/EL6dzSlLCLf7qHjFYjOSmL8NTV0nuikWIOXeIbXpRu
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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working with electronic health record data and familiarity with programming in R, Python, or SQL. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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software such as OpenSees and SAP2000 is preferred. Programming skills in MATLAB or Python are desirable. All applicants must have valid GRE scores and satisfactory GPA. International applicants must provide