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ML surrogate models for electronic structure and electrostatic potential in 2D materials Perform large-scale materials simulations (e.g., DFT, tight-binding, continuum models) to generate training and
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within the Department of Chemistry. The long-reaching scientific endeavor of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental
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(starting date flexible). We develop state-of-the-art computational methods and take a leading role in our field. The successful candidate can therefore expect to contribute at the international forefront
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located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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licence is highly desirable. Regular communication and co-operation with stakeholders (project partners in PEACE-Air) will also be required. We are seeking an enthusiastic, motivated person with a high
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interest, for example, is the recycling of heat waste energy generated by the electronic chip, however you will also assess overall heat transport within the chips, their packaging and systems. You will use
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, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute