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. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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monitoring and control. In this context, generative AI and foundation models offer promising approaches for developing trustworthy and scalable energy applications, including the generation of synthetic yet
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vacuum conditions. Your tasks include: • Design and manufacturing of propulsion prototypes • Experimental testing and diagnostics • Modelling and performance analysis • Development of propellant-control
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, verification and control of LLM-based agents AI for materials discovery – generative models, active learning and autonomous discovery of novel materials We welcome applications from candidates whose interests
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candidate will be involved in the development of model predictive control to operate the energy system and IT load largely self-sufficiently under varying weather conditions, with particular focus on the role
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mesoscopic properties of active units within a collective to its macroscopic behavior based on simulation data. Another possibility is to equip active units with learning capabilities or adaptive interactions
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
://www.mardata.de/ . Your Tasks Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data Work with large-scale biological and
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(probability of detection) of non-destructive testing and structural health monitoring methods using ultrasound The core of the PhD project is the development of simulation methods – primarily based