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science and artificial intelligence and developing AI trustworthiness (e.g., fairness, privacy, safety) models. The project is part of the EU project XSCAVE (https://www.xscave.eu/ ) whose ambition lies
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- Humanities and Society (WASP-HS). The aim of WASP-HS is to promote new interdisciplinary knowledge in the humanities and social sciences on the topic of artificial intelligence and autonomous systems and their
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artificial intelligence (AI)/Machine Learning (ML) with a focus on life science, or alternatively, life science with a focus on AI/ML (or equivalent). You will work closely with researchers, engineers, and
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Areas: Theoretical Physics / Statistical physics Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Complex
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new industries (virtual reality, platforms and artificial intelligence). Centre for Family Entrepreneurship and Ownership (CeFEO) Family ownership and family business, heterogeneity in family ownership
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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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artificial intelligence based cellular models on the other hand. You should possess a PhD and research experience in a relevant area, both experimental and data driven research experience is considered
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more at datahub.aida.scilifelab.se Analytical Imaging Diagnostics Arena (AIDA) is a Swedish national collaboration arena hosted at CMIV, for research and innovation on Artificial Intelligence (AI
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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of artificial intelligence, aesthetics, history of philosophy, epistemology, philosophy of mind, metaethics, metaphysics, normative ethics, political philosophy, philosophy of language, applied ethics, and