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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human
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, focusing on regional ocean climate predictions and projections. The primary objective of this doctoral student position is to disentangle natural climate variability and projected anthropogenic climate
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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headed by Prof. Henrik Birkedal uses a broad selection of tools with special emphasis on X-ray imaging techniques and diffraction, both done in house and at synchrotrons. Our research group uses a variety
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We are seeking a highly motivated and skilled Postdoctoral Researcher to join our interdisciplinary team in the Division of Translational Oncology headed by Prof. Julia Skokowa. Our laboratory is
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the recruitment process if your application is taken forward. To apply, please visit the UK DRI careers site, and submit: A cover letter outlining your background, your motivation for joining us, and your preferred
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Building. You will join the Research Unit for Molecular Pharmacology, led by Prof. Timo Müller. The group's research is dedicated to the development of innovative pharmacotherapies aimed at safely and
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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-WISE NEST project. This position will be with the Division of Artificial Intelligence and Integrated Computer Systems (co-PI: Prof Fredrik Heintz). We will strive for a tight collaboration between the