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Field
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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visualization tools to present results (e.g., using Shiny in R, or Tableau). Development of Research Deliverables and Publications (25%) – Prepare high-quality research deliverables, including project briefs
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R. Brown School of Engineering and Computing: The George R. Brown School of Engineering ranks among the top 20 undergraduate engineering programs (US News & World Report) and is strongly committed
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting
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Postdoctoral Scholarship of R$ 12,000.00 per month, alongwith a Technical Reserve equivalent to 10% of the annual scholarship value to coverunforeseen research-related expenses. If the scholarship holder needs
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(e.g. ADOS-2, ADI-R), is strongly preferred. Knowledge, Skills and Abilities: Knowledge of Microsoft Office suite. Familiarity with statistical packages (e.g., SPSS, R) Ability to work as a member of a