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MATLAB/Simulink together with real time control, Labview, data acquisition and prototyping platforms. It is essential that you can demonstrate practical work in these areas, as the project aims to produce
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) systems. Proficiency in MATLAB, Python, and LabVIEW programming languages is essential. Demonstrated research experience with a strong record of peer-reviewed publications in fluid dynamics, turbulence, air
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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are
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proficient programming skills in one of the following: Python, Matlab, C/C++. Employment is contingent upon the candidate’s ability to obtain the required security clearance. See the last paragraph under
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for a postdoctoral associate position, ideal candidates will have experience and prior training in some of the following areas: Programming in Python and/or Matlab. Electrophysiology, calcium imaging
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MKL, Intel oneAPI, Matlab, CUDA, and real-time audio processing. • Experience with C++, Java, and Python. *Incumbent will be required to submit for a Department of Defense Secret-level security
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control (broadly construed). Expert knowledge of a scientific programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work
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understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
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), Experimentation, Genome-Wide Association Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT, Presentations, Python (Programming