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Field
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writing · Appropriate knowledge of basic statistics and facility with standard statistical programs such as GraphPad Prism · Ability to work independently yet collaboratively · A
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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
discipline such as exposure assessment, molecular or computational toxicology and biology, environmental chemistry, statistics, bioinformatics, geography, or epidemiology for an NIEHS funded T32 postdoctoral
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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with fungal community, genomic or transcriptomic analyses Knowledge of multivariate analyses and statistical modelling Excellent communication skills in written and spoken English We consider it a merit
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imaging data (e.g., CellProfiler, convolutional neural networks).•Knowledge of chemo-informatics and drug discovery.•Strong practical statistical skills (batch effects, confounders, experiment design). You
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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appointment. Appointment Start Date: The start date is flexible. We will review applications on a rolling basis. Group or Departmental Website: https://pathology.stanford.edu/(link is external) How to Submit
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professional experience. Where to apply Website https://forms.office.com/Pages/ResponsePage.aspx?id=BeoAsH4kSE6MkRzwDHSU7xXWsDS… Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link