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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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health, or related field, plus at least two years directly related experience required. Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior
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-cell RNA-seq, bulk RNA-seq, proteomics, etc. Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control
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(https://sites.lsa.umich.edu/brang-lab/ ) under the direction of Dr. David Brang, but this is a collaborative project among multiple labs at the University of Michigan and the University of California, San
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degree in a related field plus proven/relevant experience Relevant experience teaching in an online or asynchronous format. Expert knowledge of data visualization tools such as R, Tableau, Python, D3
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and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
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Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: BS degree in
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quantitative science and must also have the following qualifications: R and Python coding Experience with single cell and Xenium data analysis Ability to explain analyses to non-quantitative scientists Ability
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to spouses and dependent children (eligibility rules apply). For details on FAU's amazing offers visit us at https://www.fau.edu/hr/benefits/index.php Explore Living in Palm Beach County The goal is to provide