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to galaxy evolution and observations of galactic magnetic fields. Experience with Bayesian statistics is advantageous. Strong verbal and written communication skills in English are required. To qualify
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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structured SPE data Develop ML models to predict key polymer properties relevant to battery performance Create generative models for the inverse design of novel SPE candidates within the targeted chemical
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, they introduce new and understudied attack surfaces. The research aims to uncover novel network-based threats targeting these systems and to develop robust countermeasures. By systematically identifying
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literature, articulate targeted problem formulations, select appropriate methodology and methods, collect data, and systematically and critically analyze the findings from your studies. During this PhD journey
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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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Motor sailing ships are key to meeting IMO’s greenhouse gas emission reduction targets. By integrating sails, ships can reduce engine power usage, fuel consumption, and emissions - when combined with CO2