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Field
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data analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills
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Texas A&M University, Physics and Astronomy Position ID: TAMU -PHYS -POSTDOC [#29977, R-083493] Position Title: Position Location: College Station, Texas 77843-4242, United States of America [map
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experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical
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reference number SAA-005-25-R. Further details: *Occasionally we may need to close a vacancy before the published deadline due to a high number of applications being received, therefore we strongly advise you
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businesses use self-regulation (S-R) to influence public opinion and preempt statutory regulation. The postdoctoral researcher will primarily contribute to Work Package 1 (WP1), which focuses on survey
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arising from those data sources and formulate modelling strategies on how to take into account for those Estimate small area models and produce maps after assessing modelling results Produce Open Source R
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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microscope), signal transduction , and 3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and