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efficient, well-documented code in R, Python, SAS, or SQL Build reproducible workflows using version control (e.g., Git) and structured pipelines Automate repetitive tasks and optimize data processing
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solve sensory-motor tasks. Core Responsibilities Analyze neural datasets using Python and standard scientific libraries (e.g., NumPy, SciPy, Matplotlib). Develop and evaluate machine learning models
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. Responsibilities: Designing real-time analytics using Python and TensorFlow. Reporting research findings. Contributing to collaborative research efforts. Apply advanced skills in AI-enabled cybersecurity for power
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seek candidates with strong teaching skills and programming experience in R, Python, and/or STATA, who are eager to inspire students and make an impact. Your job The Utrecht University School
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series and static data from the next generation of surveys. The majority of development is in Python with some performance critical code in C/C++/Rust. Development incorporates software best practices
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computer science, or related discipline, substantial research or work experience with either fMRI neuroimaging, cognitive neuroscience, affective neuroscience, or programming languages (e.g., R, python, bash
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to workshops, bootcamps, or similar community training activities. Preferred Experience with statistical inference frameworks for HEP, including Python-based tools such as pyhf, and familiarity with likelihood
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en C, C++, Python, par exempleWe are looking for a motivated and creative candidate with a solid background in statistical physics and an interest in non-equilibrium systems, soft matter and
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Python (obligatoire) - Bibliothèques d'apprentissage profond (comme TensorFlow, Keras, PyTorch) (obligatoire) - Bibliothèques Quantum (Cirq, Qiskit, Tensorflow Quantum. QuTiP) (recommandé) Théorie
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms