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Field
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microscopy, optogenetics, or in vivo imaging techniques. Experience with electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python
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in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow, PyTorch) Experience with physics-based modeling Strong analytical and problem-solving skills, with
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to autonomous systems is considered an asset. Proficiency in relevant programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in
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with at least one engineering design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly
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using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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stress and distortion in large-format structures Experience with CAD/CAM, MATLAB, G-Code Knowledge and/or experience with solid-state manufacturing processes, including friction stir processing and welding
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 27 days ago
measurement. - Strong experimental skills and ability to develop, troubleshoot, and validate measurement workflows. - Strong data-analysis skills using Python, MATLAB, R, Origin, or similar tools. - Strong
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be