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project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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large-scale omics data, and contribute to manuscript preparation and grant writing. Additionally, they will mentor junior lab members and participate in scientific discussions and presentations
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Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) | Austria | 29 days ago
23 Mar 2026 Job Information Organisation/Company Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) Research Field Language sciences » Linguistics Researcher Profile
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Sociology Ethics in health sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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Qualifications Demonstrated experience analyzing large-scale epidemiologic datasets and/or clinical trial data. Formal training or research experience in sleep research or related disciplines (i.e. sleep medicine
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: Location Omaha, NE Requisition Number: 2026 - 052 Department Genetics Cell Biology & Anatomy 50000507 Business Unit(College
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the