1,826 python "https:" "BCAM The Basque Center for Applied Mathematics" Postdoctoral positions in United States
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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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
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have