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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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metocean conditions. Prior research highlights the importance of stall conditions for optimal sail performance and safety, while also demonstrating the complexity of airflow around sails and ship structures