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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Position 2
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UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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) and high mass (>100 GeV). More details about the team in https://www.cppm.in2p3.fr/web/en/research/astroparticles/index.html#Dar… The candidate will be involved in all experimental aspects, from
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred
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closely related field. Fluency in English (written and spoken). Proficiency in quantitative data analysis (e.g., R, Python, SPSS, or equivalent). Track record of publications in peer-reviewed journals
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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Affairs. The FY25 minimum is $76,383. The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he (link is external) ; https://www.zihuai-he.com/ (link is external) ) at Stanford