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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis
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, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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of the active zone (AZ) via phase separation and endomembrane interactions. By combining molecular, imaging, and behavioral approaches, we aim to link synaptic remodeling with sleep and resilience
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Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu) benefits guide cover-post-doc-2024 (cu.edu) Qualifications: Minimum Qualifications: · PhD in relevant scientific area such as
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group, work as part of the research team, mutually supportive, cover duties as necessary. About You The candidate should have experience working in a research, possibly with a PhD. Experience in standard
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
integrate the Laboratoire des Sciences du Numérique de Nantes (LS2N), in the Signal, Image and Sound (SIMS) team (https://www.ls2n.fr/equipe/sims/ ) and work on the campus of Centrale Nantes, a top-level
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your application: A comprehensive CV detailing your publication history A copy of your PhD diploma Contact information for two referees who can provide insights into your qualifications A brief but
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Neurology at Masaryk University. The goal of our research group is to create robust computational frameworks with which to better understand how information is processed across the vast range of scales