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(or equivalent experience) Essential Application Demonstrable computational and programming skills (e.g. Python, MATLAB, or similar) for data processing and analysis Essential Application/interview
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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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for modeling and verifies the data prior to modeling. Understand, integrate, and use widely accepted approaches to pharmacometric modeling and statistical analysis (e.g., R, Matlab). Utilize routine
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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related field. Minimum of 1 year of demonstrated experience in the use of a programming language, such as but not limited to MATLAB or C++. Minimum of 1 year of experience in data collection and analysis
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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libraries (Numpy, PyQT/PySide6, Pandas), but may also involve the use of MATLAB/Simulink and C++. At direction of faculty investigator, develop and integrate new hardware devices into the existing software
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record
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neurophysiologiques (EEG, oculométrie, mesures autonomes) constituera un atout. Des compétences en analyse de données et en programmation (Python, Matlab ou R) sont souhaitées, ainsi qu'un intérêt pour les méthodes
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cálculo empleadas para diseño óptico, así como un buen conocimiento en programación con Matlab y Maple. Specific Requirements Titulación Académica: Doctorado en Física/ Ingeniería