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Field
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skills working with image data in Python Experience with metadata, data integration and standards for bioimaging data Experience working in multidisciplinary teams and at the interface between biological
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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. Strong programming skills (R, Python, C++ etc.). Excellent written and oral communication skills. Required Application Materials: Cover letter describing your interest in applying to the lab. Curriculum
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practical experience working in R and/or Python for biological data analysis and visualization …you are interested in tumor–stroma interactions, particularly immune–endothelial crosstalk …you have a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact diagonalization, tensor-network techniques (DMRG, TEBD, PEPS), or others
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of warming, nutrient enrichment and species invasions using size- or stage-structured population models (e.g., in R, Matlab, or Python). Writing scientific manuscripts and presenting findings at conferences
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, including theory). Coding proficiency (Python and/or PhP, SQL, Stata or R). Fluency in English. Fluency in French is a plus, but it is not required. LanguagesENGLISHLevelExcellent Research FieldEconomics
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of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background. Proficiency in at least one programming language, such as R, C, Python or MATLAB