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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of advanced models and algorithms
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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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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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integration, and system integration for next-generation wireless systems. We envision programmable and intelligent cellular networks that can be dynamically and algorithmically instrumented and optimized
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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simulation campaigns in the group's different projects. Manage computing resources to support the different simulation campaigns. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 13 days ago
of algorithms aligned with the needs of IT4Innovations projects. Full time equivalent: 0,5 - 1,0 Type of job contract: fixed term employment (ideally 1 year, or as agreed) Expected start of employment: 1. 5. 2026
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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algorithms to understand how perturbations to dynamic brain networks impact seizure likelihood. With an emphasis on the emerging field of digital twins for personalised health, the ultimate aim is to translate