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Position Details Position Details Job Title RESEARCH ASSISTANT I Position Number 8350258 Work Modality Fully In-Person Job Category University Staff Job Type Part-Time FLSA Status Non-Exempt Campus
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are particularly interested in candidates with practical and teaching experience in one or more of the following areas: intelligence analysis, fraud, crime mapping, crime analysis, cybercrime, artificial
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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-modal”) neural + behavioral disease-state models. The purpose of the research project(s) this position supports: The purpose of the research supported by this position is to develop a computational
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 20 hours ago
dynamic team of clinicians and research scientists. The candidate is responsible for developing and investigating longitudinal and multi-modal AI models for deformable image registration and dose
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | 11 days ago
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efficiency of low-cost adsorbents for the removal of cyanotoxins and taste and odour compounds from water. This will involve setting up methods for the analysis of selected toxins and taste and odour compounds
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articles, and preparation of grant proposals. Scholars with a taste for creative study design - whether classic paradigms with a twist or entirely new approaches - will find a welcoming space for
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, including tracking and data analysis in compliance with laws including state, federal, and FERPA. Recruits, selects, hires, supervises, trains and provides personalized, growth-oriented supervision
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA