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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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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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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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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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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 10 days ago
Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 31 Dec 2025 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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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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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
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) Positions Postdoc Positions Country Spain Application Deadline 4 Jan 2026 - 12:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 19 Dec 2025 Is the job
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physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets