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Field
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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, including control strategies, simulation, and validation. Proficient in simulation tools such as MATLAB/Simulink, PLECS, or PSIM for modeling power electronic converters and control systems. Hands
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MATLAB/Simulink, PLECS, or PSIM for modeling power electronic converters and control systems. Hands-on experience with hardware prototyping, circuit design, and experimental testing of power electronics
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the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology
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a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design, computational modeling, and data analysis for studying human motor
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, Computer Science, Physics, Mathematics, or related disciplines within the last 5 years Proficiency in common scientific programming languages (e.g., Python, IDL, Matlab) Preferences: Excellent written and oral
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analysis of large datasets using Python, Matlab, or other programming languages - Experience with embedded system, particularly IoT sensor development. - Experience with optical sensor development preferred
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and mathematical modeling (Python, MATLAB, or R) Design of controlled experimental systems to test mechanistic hypotheses Application Instructions Interested candidates should submit the following