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Field
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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Certification; experience with Matlab, Python or R. Deadline to Apply Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work
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programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in the experimental implementation and validation of robotic systems
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, or Matlab for instrument control/data processing is required, but you do not need to be an expert at the start. You can document experiments carefully, work safely with chemical samples and solvents, and
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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system, MCNP, OpenMC, Serpent, VERA, MOOSE codes, etc.). Experience with common programming and scripting languages (e.g., Python, C++, Matlab, JavaScript). Preferred Qualifications: As this position works
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proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both
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, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and
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rejection, source localisation, time-frequency decomposition, and multivariate pattern analysis. Develop and apply quantitative analysis pipelines in MATLAB, incorporating dimensionality reduction (PCA, UMAP
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-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows. Demonstrated ability to conduct independent research, formulate data