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on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
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datasets, performing statistical analyses and machine learning approaches to identify biomarkers of treatment responses. The candidate will also develop and implement bioinformatics pipelines in a high
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communication skills. Desired Qualifications: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral
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EVALUATION CRITERIA The selection will be based on the following criteria: [60%] Academic record [20%] Knowledge in high-performance computing architectures and systems [20%] Past experience in architecture
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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contract will offer a dynamic research environment, access to high-performance computing resources, and interactions with experts in ocean modeling and climate sciences. Where to apply Website https
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from November 2025, or as
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of the project, not exceeding the maximum period set by FCT for such grants. RENEWALL Renewable is subject to performance if the candidate is enrolled in a: PhD program - art. 6º, n.4 c) https