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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi-omics data
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 18 hours ago
mathematical formalization AI / machine learning / deep learning background some Python / PyTorch experience scientific curiosity, taste and autonomy in explorative tasks and problems References [1] Toussaint
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications - Inteligencia Artificial y Aprendizaje Automático: Conocimientos en modelos de IA, Machine Learning y Deep Learning. Se valorarán muy
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learning, signal processing, computer science, or a related field. Strong experience with deep learning and generative models. Programming skills suitable for modern machine learning research, preferably
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with deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision