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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 18 days ago
lie either on the integration and analysis of spatial omics data or on deep learning methods that exploit the higher-order structure of tissue, with the two projects closely linked. Methods will be
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demonstrated by a letter of support from one of the following: Academic official at an eligible Tribal College and University (TCU) included in the list linked here: https://orise.orau.gov/zintellect
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or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00246 - Human Genetics Location Campus City Salt Lake City, UT Type of Recruitment External Posting
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participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL ( https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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Skip to main content FDA Data Science and AI Fellowship Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-OC-2026-0002 How to Apply To submit your application, scroll to the
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understand their motivations, and build bespoke analysis pipelines of social media and financial data to understand the downstream consequences of the buying and selling of these services. The PhD will be
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where required and escalating issues where appropriate. Maintaining accurate records and ensuring data quality and data protection across systems. Maintaining compliance with university governance
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CNS tumour cohorts and continuously growing multimodal datasets with linked molecular and outcome data State-of-the-art research infrastructure including digital pathology, dedicated GPU computing