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Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer
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, Integrity, and Selfless Service. The Department of Physics and Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics
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laboratory, simulation, or field-based experiments Experience developing software using Python, MATLAB, C/C++, ROS, simulation environments, or other scientific computing tools applicable to autonomous systems
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and undergraduate degree options
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, and optimization techniques, to enhance robotic autonomy and mission performance. Develop and validate digital twin environments for simulation, testing, and evaluation of autonomous robotic systems and
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drone operation and simulation software integration, is a plus. SALARY: Up to $5,000.00 Monthly ($60,000.00 Annual, Approximately) NOTE: This is a grant funded position with continued employment
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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Abilities: Ability to effectively use a computer and applicable software (Microsoft Office, GraphPad, Zoom, etc.) Ability to multi-task and work cooperatively with others Animal handling (adult horses and
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students. Designing novel experiments and concept in several basic, translational, and clinical projects in metabolic diseases and pregnancy disorders Good computer literacy including databases, standard