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and summary writing, basic data processing and analysis using Python or MATLAB, and preparation of figures or tables for manuscripts and presentations Attend a 2-day program orientation and onboarding
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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analysis tools (Python, R, MATLAB) Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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(e.g., knowledge of principles and procedures related to field and area) Demonstrated proficiency in coding, robotics, and engineering design (e.g., Python, MATLAB, Arduino, C++ or similar). Other
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of programming techniques in Python, C, and C++; Advanced proficiency in Windows operating systems and Office 365 suite; Advanced knowledge of the MATLAB environment; Very good knowledge of AVR and STM32
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to be able to independently develop scientific concepts and methods, be competent in coding with Python and Matlab at least, and be fluent in both speaking and writing in English. The EU Mobility Rule
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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the following list: C, C++, Python, Matlab, Mathematica. Programming skills will be used to build experiment control systems, data analysis systems, and to perform numerical simulations of experiments. This is
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software applications to support study aims using MATLAB, C++, Python, CUDA, ROS, JAVA, MS .net, Arduino, or other languages as needed. (20%) Support IRB and R&D applications. (15%) Support grant and