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partners, or translational research teams. Experience with Quarto, Python, and/or other programming languages. Experience and interest in data science or informatics education. Experience with deep learning
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
. We seek highly motivated scientists with expertise in computational genomics/AI and/or translational cancer biology to join our dynamic, well-funded research program at the frontier of cancer genetics
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, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl Excellent written and verbal communication skills in English, along with a
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of TA programs and processes in line with St. Jude's talent strategy. Understand the process from an applicant's perspective; Develop and deliver a consistent, transparent candidate experience from start
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition
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, biomedical informatics, or a related quantitative field; outstanding candidates at either level are encouraged to apply Strong programming skills, especially in Python; experience with TypeScript/JavaScript
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. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes
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applications for a postdoctoral researcher to join an interdisciplinary research program within the PRELUNG study, focusing on early lung cancer detection and biological characterization of pulmonary nodules