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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, polymers, hydrogels, and wearable and implantable biosensors. Experienced in applying these materials to three-dimensional (3D) cell culture models and translational diagnostics or similar. Preferred
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generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with
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Job related to staff position within a Research Infrastructure? No Offer Description Work group: Hybrid Material Systems Area of research: Scientific / postdoctoral posts Job description: Reference
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
involving complex fluids that interact with gases, other fluids, or solids. The role also includes examining how these systems respond to perturbations in material properties and environmental conditions. The
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systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based collaborations with
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SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania State University is
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assistant postdoctoral to Prof. Thomas Kühtreiber) in the field of modern archaeology. The position is closely linked to the ongoing research programmes ‘Dynamics in Rural Areas’ and ‘Identities and Material
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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, Mechanical Engineering, Materials Science and Engineering, Electrochemistry, Physics, Applied Mathematics, or a closely related field. Demonstrated experience in computational modeling and simulation