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12.12.2024, Wissenschaftliches Personal The professorship “Big Geospatial Data Management“ is looking for academic staff (multiple position for different career levels) to support our research in
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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Classification Title: Post-Doctoral Associate in Computational Chemistry Classification Minimum Requirements: Candidates must possess a PhD in Chemistry or Physics, or closely related field. Job
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convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetics data
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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initiatives in blockchain data collection and management. The position focuses on developing innovative solutions for large-scale blockchain data analytics and management systems. Key Responsibilities Lead
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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
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, Computer Science, Statistics or a related field. Strong mathematical/scientific programming skills. Experience with bioinformatics algorithms and large-scale data analysis. Baylor College of Medicine is an Equal
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
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theoretical concepts with available data; Working with large databases (e.g. PATSTAT, ECOLEX, Web of Science); Quantitative time series analysis, including structural break detection and clustering techniques