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cardiovascular disease. A possible direction for the work is the development of probabilistic graphical models that represent proteins as latent causal drivers of disease, while treating other omics layers as
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 1 day ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents
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Dynamics” (FairCFD), a training programme focused on the development of novel modelling tools where the PhD candidate will have the opportunity to study and contribute to these technical developments from
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-assisted image analysis, and AI-driven predictive modeling. The project is part of an EU-wide initiative to address the growing issue of airborne health threats found indoors. Your profile: • Master’s Degree
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their behavior Improving and developing new models Participating in conferences in Germany and abroad (incl. presenting your research results) Preparing scientific publications and project reports
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Electron Laser (EuXFEL) is an X-ray laser facility driven by a superconducting linear accelerator. It is currently the brightest X-ray source of its kind, enabling unprecedented discoveries in the physical
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks Project
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signaling concepts We will develop artificial cells that sense disease-relevant signals and generate regulated outputs, with a long-term focus on adaptive responses in tumor-microenvironment models and