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, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python, R, MATLAB) for data processing
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team on complex research projects. Ability to collaborate with interdisciplinary teams, organize one's work, and meet scientific publication deadlines. - Programming and Workflow Automation: Proficiency
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learning: CNNs, Transformers - Proficiency in programming languages: Python, C++, CUDA (optional) - Use of image processing and AI libraries: OpenCV, PyTorch, TensorFlow * Domain-specific
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Experience None Additional Information Eligibility criteria * PhD in experimental particle physics. * Strong programming skills in Python, C++, and ROOT; knowledge of Fortran is desirable
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least one scientific programming language, such as Python, Julia, MATLAB, C, C++ or Fortran, together with good practices in software development, verification and documentation. - Ability to write
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and programming languages such as Python, and ease in sharing code, for example, using GitHub. • Verbal and written communication skills necessary for scientific reports and publications, as well as
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. The expected skills are as follows: * Solid knowledge of mathematical modelling, statistics and scientific computing. * Proficiency in a scientific programming language, particularly Python, and the
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. Previous experience in detector characterization or testing with particle beams would be a strong asset. • Have good programming skills, with experience in languages and scientific computing tools such as C
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. • Command of Python programming and of the associated data analysis ecosystem (conda, pandas, scikit-learn, PyTorch, Hugging Face Transformers). • Experience in labeling textual data: design of annotation
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(experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal qualities_: Independence, organisational