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, and false positive detection, which is particularly important for fainter sources. An additional aspect is multi-messenger science and we wish to investigate the use of external data (e.g. from Gaia
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data collection, integration, and modelling and 2) co-constructing case studies to demonstrate how this workflow may be applied at the local scale but also integrated internationally. This postdoc
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science-related applications. Explicitly accounting for symmetry is not the standard approach in machine learning – a well set up model should be able to ‘detect’ the symmetry automatically. One way
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with a human-centric, sustainability-driven approach. The Postdoctoral researcher will work on using AI-powered methods, testing, and simulation technologies for the verification and validation
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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collaboration with KTH, the Royal Institute of Technology in Stockholm, where experiments and model-scale sea trials will take place. The team has well-established partnerships in wind-assisted propulsion and