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management by developing technologies that serve plants, people, and planet. By integrating data from plant sensors, production systems, and environmental conditions into advanced models and dashboards, we
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provable guarantees AI-based cybersecurity: applying learning and AI-assisted techniques to network security, e.g., automata learning from security logs, validation of protocol models, and verified defensive
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options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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simulations, enhanced sampling, and kinetic modeling. Research activities will examine molecular interactions involving neurotransmitters and hormones, including norepinephrine and estrogen, and their effects
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with a dissecting microscope under sterile conditions and in utero electroporation. The individual will perform studies to analyze cellular and molecular signaling using in vitro and animal models
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
. Using a cross-species approach, we will investigate the molecular and epigenetic mechanisms linking early-life metabolic conditions to brain aging and metabolic health later in life. The position is
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observational constraints (e.g. atmospheric or isotopic observations) to improve model predictions; enhancing model capabilities (e.g. nitrogen-constrained methane production); assessing the importance
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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conditions. The successful candidate will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that lead