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assays to quantify kinetics and selectivity under operationally relevant conditions; and multi-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination
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years [1], we are in great need of alternative, energy-saving methods of calculation, so that the large-scale rise in AI does not lead to widespread disillusionment. In addition, embedded systems
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be
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, monitoring, and response to NaTech disasters, such as flooding or earthquakes that affect critical infrastructure installations. This will include a detailed assessment of existing methods to address
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history of family AOD use and To estimate potential health, social and economic benefits of reducing the burden of family AOD use. The student would develop the project with their supervisors to make it
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methods, parameter estimation, and data visualization. Some knowledge of probability and statistics. Other Requirements: CV Research Statement 3 Reference Letters Cover Letter Full-time, 12-month position
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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: - Optimization of solid phase extraction of pharmaceuticals occurring in environmental matrices; - Development and validation of analytical methods based on liquid chromatography coupled to mass spectrometry
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating