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exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 14 days ago
(Einstein Telescope), acceleration techniques for gravitational-wave inference, including machine learning, cosmography with gravitational waves (including dark energy, dark matter, gravitational lensing
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to avoid sources of bias such as the target trial approach (www.bips-institut.de/en/research/cross-departmental-working-groups/working-group-gepard-target-trials-for-causal-inference-gettcausal.html ) and
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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 code via
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analytical skills for model formulation and optimization Demonstrated research potential, ideally with a track record of publications in relevant venues (journals such as IEEE T-ITS, INFORMS Transportation
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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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CISPA Helmholtz Center for Information Security | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past
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dendritic cells can be associated with distinct gene expression patterns and immunological outcomes. However, current interactome analyses have so far been limited to inferred interactions based on cellular
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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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patterns and immunological outcomes. However, current interactome analyses have so far been limited to inferred interactions based on cellular receptor-ligand expression patterns. New technological advances