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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in
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research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify
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Associate to work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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to execute PSiX’s research vision and strategy. Collect, analyze, and integrate qualitative and/or quantitative data, e.g., through surveys, interviews, focus groups, participatory action methods. Partner with
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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: Ithaca, New York 14853, United States of America [map ] Subject Areas: Data Science Development Agriculture / Sustainability Environmental / Resilience Appl Deadline: 2025/12/16 04:59 AM (posted 2025/10
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CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in
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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data