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Field
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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
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. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model
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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 6 days ago
develop state-of-the-art theoretical and computational methods to model strong light–matter coupling in and out of equilibrium, across gaseous, liquid, and solid-state systems. Key responsibilities The PhD
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to help monitor and combat online social influence and promote a healthy information environment. The successful candidate will join the School of Computing and Mathematical Sciences as part of a project
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling