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-facing materials and first wall concepts for fusion energy devices through surface science experiments. Studies under the controlled conditions of ultrahigh vacuum (UHV) surface science facilities enable
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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and remote sensing. Experience with environmental modeling, downscaling, and data integration techniques. Salary Range $55,000 + depending on qualifications. Working Conditions May work around standard
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preclinical models Professional Competencies • Effective communication skills, including the ability to communicate in writing • Ability to work independently and within a team Preferred Qualifications
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tissue-resident adaptive immunity, with opportunities to work across murine and human models. Beyond research, the scholar will actively participate in student mentorship and assist the principal
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core facilities, performs RNA seq data analysis, and studies nerve response. This role collaborates with Dr. Rutherford and Dr. Shokeen as well. The job includes taking care of the animal models, cell
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
and atmosphere components of existing coarse resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs
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in a group with a strong publication track record Work in a supportive, international environment just outside Copenhagen If you want to apply your skills in animal models and translational
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Areas: Physics / Theoretical Physics Quantum Information Science Quantum Computing Numerical Modeling Quantum Condensed Matter Theory (more...) Physics/Condensed matter theory Appl Deadline: filled