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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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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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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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, simulation, and software development (e.g., Python, C++, ROS, MATLAB) analytical skills and ability to combine theoretical modeling with experimental validation We are looking for first-class graduates with
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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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with scientific programming (e.g., MATLAB, Python) and image analysis software (e.g., FIJI/ImageJ). Excellent communication and interpersonal skills. Strong analytical thinking, problem-solving skills
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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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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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