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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models
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limited to it): Philosophy/epistemology of contemporary physics Philosophy/epistemology of contemporary mathematics Philosophy/epistemology of contemporary logic. Philosophy of Artificial Intelligence (AI
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures