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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the model backbone for the next era of AI-powered
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the model backbone for the next era of AI-powered
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply
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electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting
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The mission of 4-H Camp Bristol Hills is to provide youth with a unique, fun outdoor experience under the guidance of positive role models, emphasizing positive social interaction, environmental
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in field work/observation campaigns (e.g., water levels, currents, waves, morphology); manage data QA/QC and metadata. Conduct critical analysis, uncertainty assessment, and model–observation skill
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
biomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short. AI-powered precision oncology: Build
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are: Conducting in vitro and in vivo experiments with medulloblastoma models within the parameters of the funded project, under the supervision of the lead researcher. Collaboration in experimental design, as
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg