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University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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) as well as various other algorithmic methods for data processing and analysis. Current projects within this scope include, but are not limited to: Detection and classification of lesions Segmentation
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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of this position aims to develop computational methods for design of modular RNA origami robots. The project includes the following tasks: Develop computer-aided design software for modular construction
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medicine. The lab invented the RNA origami method [1] and have developed basic algorithms and software for RNA design. However, there is a great need to develop new software for the design of advanced RNA
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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performance. To investigate the ecophysiological consequences of an ice-free Arctic for marine fishes, the post-doc will estimate the field metabolic rates for a range of marine fish species using a novel
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields