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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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degree in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU
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, including high-performance computing. In addition, we have productive collaborations with the Norwegian Epilepsy Association, the Neurosurgical Department at Oslo University Hospital, as
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independent and collaborative theoretical and computational research in quantum condensed matter physics Develop and implement high-performance scientific software, and simulation tools Publish research papers
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-conjugated organic semiconductors for high-performance organic photodetectors. The work integrates molecular and materials design with organic synthesis, purification, and thin-film characterization, in close
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-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them
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mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
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academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups