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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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degree must be completed no later than at time the employment decision is made. The ability to develop and perform high-quality research. Programming skills. Excellent oral and written English proficiency
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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observation and high-resolution numerical modelling. However, the high computional cost associated with the numerical modelling approaches that we use at LIENSs (SCHISM modelling system ; Zhang et al., 2016
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familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary research and teamwork Pronounced
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Vacancies Postdoc position in microbubbles for ultrasound molecular imaging Key takeaways You will join an interdisciplinary research project in molecular ultrasound imaging using functionalized
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performance outcomes at the network/architecture level. Scientific Impact: Publish high-impact research in top-tier neuromorphic engineering, circuit design, and/or computing journals and conferences
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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 Alphabet, present