466 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"U.S" Postdoctoral positions in United States
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Field
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, Computational Biology, 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
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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
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mechanics and/or voiced speech production. Preferred Qualifications Ph.D. in Mechanical Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through
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communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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and/or animal tissue, which may include stool, blood, and organs Ability to keep accurate and up-to-date research records. Strong English verbal and written communication skills. Ability to work in a
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Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings
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Sciences seeks a Postdoctoral Associate to work closely with PI on projects investigating speech outcomes for individuals with neurologic diseases associated with dysarthria and speech outcomes following
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emerging technologies in a construction setting. - Experience with human-machine interaction, robotics in construction, or sensor-based real-time monitoring frameworks. - Proficiency in programming languages
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of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various subdivisions of the squamate body plan