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Field
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studies of organic, organometallic, photoredox, radical, or homogeneous catalytic systems. Fluency with Python and modern scientific computing workflows; experience with Git, HPC clusters, SLURM, Gaussian
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discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position offers
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analysis and familiarity with R, python or another programming language Experience in molecular biology techniques including immunohistochemistry, qPCR, cell culture, ELISAs Software experience including
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optimization problems. • Design, coding and implementation of optimization models and algorithms in Python or C++. Familiarity with AMPL and/or Matlab is a plus. • Preparation, presentation, and publication
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
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techniques - Strong interpersonal and communication skills - Proficient in Microsoft Office - Proficient in Python or other scripting language - Experience with safety practices in an academic laboratory
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months ago(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Subject 2
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until the position is filled. Group or Departmental Website: https://med.stanford.edu/bennettlab.html(link is external) How to Submit Application Materials: To apply, please submit the required materials
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/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses