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development of redox-active materials for electrochemical CO 2 capture and conversion. Computational modeling and data-driven analysis will be used to guide material selection, molecular design, and
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in theoretical and computational chemistry whose research lies at the interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven
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Statistics and MS Applied Mathematics programs. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems. The ideal
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. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems. The ideal candidate will have a strong academic background
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interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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<span lang="en"> Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 17 hours ago
characterization.
The objective of the project is to bridge the gap between purely data-driven materials modeling and mechanistic microstructure simulations by combining crystal plasticity, dynamic
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constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace engineering, materials science and engineering, civil engineering
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complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace
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musculoskeletal medicine and orthopedic surgery · Biomedical data science and modeling relevant to MSK health · Image analysis and computer vision for orthopedic imaging · Clinical