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control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Selection: The basic factor for selection among qualified applicants is the ability to profit from such a program. For more
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scientific programming using Python and MATLAB, including experience with machine learning and data science libraries such as PyTorch, MONAI, TensorFlow, Scikit-learn, and related tools for 3D medical image
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skills such as programming experience in R, MATLAB, Python, or a related programming language Experience conducting independent research in psychology or neuroscience Experience recruiting or scheduling
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for experience on a year for year basis. Knowledge of MRI methods and application to neuroscience as demonstrated by application materials. Experience with a command line environment (e.g., UNIX, MATLAB, Python, R
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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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to field and area) Proficiency in coding, robotics, and computational design tools (e.g., Python, MATLAB, Arduino, TensorFlow, SolidWorks, or similar). Other: Reliable transportation to Lansdale, PA, and
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) Strong computational skills (e.g. coding in python, bash, matlab) Demonstrated aptitude for research Problem solving ability Ability to work in a multidisciplinary team Ability to work without close
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with