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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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. The QUBIC consortium will deliver disruptive innovations across three core quantum domains: Development of quantum algorithms to solve current industry-specific challenges. Advancement of quantum processors
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will work in the SICAL team at LIRIS, recognised for its
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Engineer in Underwater Perception, you play a pivotal role in shaping the future of energy-efficient AI algorithms for underwater perception. What you will do Identify research and technology gaps
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum algorithms, error
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, 157, 2026. https://doi.org/10.1016/j.ndteint.2025.103531 It is strongly advised to contact the PhD supervisors before submitting your application. Where to apply Website https://amethis.doctorat.org