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Introduction to Big Data Introduction to Data Science Introduction to Machine Learning Machine Learning and Deep Learning Entrepreneurship and Innovation Management Building a Business Plan Business Negotiating
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governance is organised around various research environments. Further information is available here: https://www.cbs.dk/en/research/department-management-society-and-commun… . The central objective of the PhD
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modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
pipelines) Strong experience with modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face ecosystem) Proficiency in training and optimizing small-to-medium scale language models Experience with
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deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all. FACTS: • Top 1.4% university in the world
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep
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) and her research group! The successful candidate will join a multidisciplinary team working at the intersection of deep learning, cosmology, and high-energy physics, with opportunities to contribute