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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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training and inference algorithms for specific edge hardware platforms. Implement and test models on neuromorphic hardware. Contribute to research proposals and funding applications. Publish and present
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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for inferring signatures of natural selection. The position is supposed to be filled at the earliest possible date and initially funded for 2 years with the possibility for extension. Compensation with all public
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bioinformatic tools, including phylogenetics and methods for inferring signatures of natural selection. The position is supposed to be filled at the earliest possible date and initially funded for 2 years with
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 9 days ago
gravitational-wave detectors on the ground (LIGO, Virgo, KAGRA, Cosmic Explorer, Einstein Telescope) and in space (LISA), techniques for the acceleration of gravitational-wave inference, including machine
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
-Neptunes and gas giants (3 years). Developing next-generation techniques for atmospheric characterization through retrievals with machine learning, including techniques such as simulation-based inference
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individual rates of ageing. Role You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions