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, and society prevent, prepare for, manage, recover from, and learn and adapt to events that may threaten something of value. We also conduct research focused on developing methods, processes, and other
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biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental tissue characterisation methods, imaging and computational simulation techniques are applied
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the safety format adopted in modern design codes (i.e., partial safety factor method calibrated using reliability-based assessments). It is anticipated that the outcome will result in recommendations
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and research and to strengthen the intertwining of education and research environments in artistic and qualitative methods. The position aims to integrate artistic research into our industrial design
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the backbone of contemporary machine learning, yet conventional training methods often overlook the rich problem geometry that, when properly exploited, can enhance performance. In this project, we will, e.g
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complementary expertise in biophysical methods: Mikael Akke (NMR spectroscopy) at Lund University, Kresten Lindorff-Larsen (molecular dynamics simulations and computational chemistry) at University of Copenhagen
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effects. Cluster analysis and annotation: Perform cluster analysis to identify and comment on significant cell clusters and groupings in the data. Segmentation improvement: Enhance data segmentation methods
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program and employment as a doctoral student within cancer epidemiology, with a focus on obesity and cancer risk. We care about creating a positive, respectful, and stimulating environment. We value
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well as developing methods to study this process. Within the research group, we prioritize a positive work environment characterized by respect and consideration in our interactions with one another. We strive
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include - but are not restricted to - wireless communication, signal sensing, energy-efficient computing systems, artificial intelligence, and machine learning, which has resulted in many collaborations