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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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for RNAi and CRISPR reagent identification and off-target prediction (E-RNAi, E-CRISP), and public databases of functional screening data (GenomeRNAi, GenomeCRISPR), which are also part of the de.NBI and
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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recession. A key objective is to identify and predict gatekeepers, i.e., critical locations that dynamically link upstream areas to the drainage network. The position will interact closely with other partners
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for RNAi and CRISPR reagent identification and off-target prediction (E-RNAi, E-CRISP), and public databases of functional screening data (GenomeRNAi, GenomeCRISPR), which are also part of the de.NBI and