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imaging applications. As a PostDoc you will contribute to the evaluation, development, validation and deployment of advanced data reduction and compression methodologies for large-scale imaging datasets
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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials