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systems. NumPEx aims to support the Computational Scientific and Engineering (CSE) community in leveraging the capabilities and potential of these new architectures through expanded and reusable exascale
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and pursue independent research directions. Required Qualifications: Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment
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2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work
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Research Framework Programme? Horizon Europe - MSCA Reference Number HORIZON-MSCA-2023-COFUND-01-01 Marie Curie Grant Agreement Number 101179088 Is the Job related to staff position within a Research
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture
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Alliance for Research & Technology (SMART). This position is part of the program: “Mens, Manus, and Machina: How AI empowers people and the city in Singapore (M3S).” The role offers a 1-year appointment with
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research combines atomic physics, quantum control, and scalable architectures for fault-tolerant quantum computation, hybrid quantum simulation, and quantum-enhanced sensing. Project background Our group
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
understanding genetic architecture). Qualifications and specific competences The postdoc position focuses on developing statistical methods, therefore the candidates must be able to demonstrate they have skills