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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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the PhD). At Sorbonne University, the student will join IMPMC-UMR 7590 (https://impmc.sorbonne-universite.fr/en ). At the University of Melbourne, the student will join the Bio21 Molecular Science
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incluirá tareas relacionadas con la integración de la ingeniería genética sintética, la microscopía con imágenes time-lapse, la tecnología de laboratorio en chip y simulaciones avanzadas con modelos
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environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
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Specific Requirements - Master (M2) en sciences de l'environnement, chimie atmosphérique, ou modélisation numérique. - Compétences techniques : Expérience en analyse de données et en programmation (Python
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hold an MSc (or equivalent) in Remote Sensing, Geoinformation Science, Statistics, or a closely related discipline, and feel comfortable programming in Python/R? Are you a critical thinker who can assess
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experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate School of Solid
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Vision-Language Models (LVLMs). Knowledge and experience in pre-training and fine-tuning of LLMs/LVLMs. Knowledge of Retrieval-Augmented Generation (RAG) using LLMs. Programming experience in Python, data
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evaluation of multi-disease tests, and test this using AI applications in radiology as a practical case study. Where to apply Website https://www.academictransfer.com/en/jobs/360280/phd-position-developing
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." Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s… Requirements Research FieldEngineering » Electrical engineeringEducation LevelMaster Degree