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and the environment. The developed methods will combine wireless sensing with digital map information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments
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, physics, mechatronics or other related discipline Expertise in microfabrication and 3D printing, especially in the fabrication of microfluidic devices Expertise in fluid dynamics and modelling
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measurement science research in robotics, advanced autonomy, and artificial intelligence systems. Utilizing deep learning, large language models (LLMs), reinforcement learning, and unsupervised machine learning
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the 360 room, XR/VR/AR/MR, 3D scanning, and digitization. Representing the Digital Scholarship Lab on groups and committees at MSU and within the Libraries that support the life cycle of digital
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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the principles of ethics, especially the Academic Code of Ethics of the Warsaw University of Technology. Where to apply Website https://wa.pwr.edu.pl/en/ Requirements Research FieldArchitecture » OtherEducation
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systems programming and real-time control (e.g., LabVIEW, Simulink Real-Time, ROS, C/C++, STM32); analog and digital PCB design; machine design and prototyping (e.g., CAD modelling, 3D printing, machining
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-invasive cardiac imaging modalities, including, transthoracic, transesophageal, 3D-echo, strain, fetal and cross-sectional imaging. Performance and interpretation of imaging and physiologic data in order to
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 days ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field