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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
océans Arctique et Antarctique, se caractérisent par des températures proches de zéro tout au long de l'année, des cycles lumineux extrêmes allant de la lumière continue en été à l'obscurité continue en
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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Python for code development and ML model training and inference, demonstrate excellent communication skills and be fluent in English, show strong interpersonal skills and the ability to work in an
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. Une expertise en segmentation tumorale, radiomique, ou en apprentissage profond appliqué à l'imagerie est attendue. La maîtrise de Python et des frameworks de deep learning (PyTorch, TensorFlow ou
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testing machines and testing equipment (such as MTS, Instron, RUMUL, acoustic emission systems, etc.) • proficiency in the following software: Inventor, SolidWorks, Ansys, Abaqus, NX, Python
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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LevelBachelor Degree or equivalent Skills/Qualifications Experiencia investigadora. Colaboración grupos 5%, Publicaciones 5%. Conocimientos en análisis de datos o Machine Learning. 10%. Experiencia C++/Python 10
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such as R or Python Manage the full biomarker panning workflow, including strategic planning, operation oversight, biomolecular sample characterisation using UHPLC glycan analysis, mass spectrometry and