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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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Zeeman Imaging Explorer (EZIE) satellite constellation. Observations from ground magnetometers, radars, and satellite missions will be combined to characterize the dynamics of the coupled magnetosphere
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systems. Essential Duties and Responsibilities: Develop and implement artificial intelligence (AI) and machine learning (ML) techniques for power system planning, operation, control, and cybersecurity, with
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. Proficiency in programming and data analysis. Experience in imaging/microscopy is an asset. Autonomy, rigor, creativity, team spirit, and strong communication skills. Additional Information Selection process
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team for sample processing and wetlab assay optimization Data interpretation and reporting for drug screens on individual patients Your profile What you bring for this position: PhD in a relevant subject
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which each constituent unit processes energy constitute active matter. Active colloids promise to harness the potential that “activity” can deliver in terms of new materials and devices. A challenge
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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polarized helium-3 Perform supporting simulations in Booster and AGS Perform simulations of polarization transport in the EIC's Hadron Storage Ring Required Knowledge, Skills, and Abilities: PhD in Physics
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based