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Field
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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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Institute e-mail: r-kolesnick@ski.mskcc.org If you have any questions about this job opprtunity, please contact: Christina Provenzano provenc@mskcc.org #LIOnsite Closing MSK is an equal opportunity and
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and oral communication skills and have a strong publication record with a working knowledge of statistical analysis in SAS, R studio, or another equivalent program. Candidates with experience in soil
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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with statistical software, such as R, Stata, SPSS, Python Knowledge, Skills, and Abilities: Strong interpersonal, organizational, and customer service skills Maintains attention to detail and utilizes
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
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, and a demonstrated ability to collect, organize, and analyze data using R or SAS. The candidate selected for this position must be able to meet eligibility requirements for work in the United States at
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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication