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Field
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areas such as machine learning, optimization, scientific software development and high-performance computing. The division is an important part of the eSSENCE e-science collaboration and of the Science
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is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics. The ideal candidate will also demonstrate: A high level of drive and
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer
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sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in
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. English is the working language in both groups. The postdoc will have access to scientific mentoring, international networks, high-performance computing resources and close interaction with experimental
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
experience with computational fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis
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‑performance computing cluster offer an unmatched playground for ambitious science. Key Responsibilities • Design, execute, and analyse high‑density electrophysiological recordings (e.g., Neuropixels) in
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Linköping University, and aims to understand the cybersecurity challenges in software-intensive and high-performance communication networks using AI-powered methods. We will advance the research front
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new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. The Postdoc positions are part