17 programming-language Postdoctoral positions at Stanford University in United States
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture
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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python and R
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Experience in R, python or another scientific programming language Experience collaborating on and documenting, sharing, and managing code with version control Leadership experience Required Qualifications
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated
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or expertise with flow cytometry and flow analysis programs are required. Prior exposure to principles of allergic responses is desired but not required. Experience with RNA library preparation, RNA sequencing
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transcriptomics techniques especially spatial transcriptomics. Experience with mass spectrometry is an advantage. Background in breast cancer biology is an advantage. Strong programming skills in languages such as