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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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with major research universities worldwide as well as with neuro-related industries. The position will work under Dr. Ganesh Chand, Assistant Professor of Radiology, within WashU in St. Louis School
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techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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and conducts world-renowned research fueled by over $700 million in annual research grants. For more information, visit www.cuanschutz.edu . The Virtual Hearing Lab of Dr. Vinaya Manchaiah, Professor
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
AU Viborg, Blichers Allé 20, 8830, Tjele. The affiliation will be with Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
, or MATLAB for model development and data analysis. · Knowledge of fisheries biology, management practices, and sustainable fishing strategies. · Strong communication and collaboration skills. · A knowledge of