576 programming-languages-"the"-"CNRS"-"Washington-University-in-St" Postdoctoral positions in United States
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Field
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programming languages is highly desirable. Theoretical and technical knowledge of the research subject matter; demonstrate the ability to independently form hypotheses; design and perform experiments; develop
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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Experience Experience in computational biology research Preferred Qualifications, Competencies, and Experience Candidates applying should be proficient in one or more of the following programming languages
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: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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needs Ensure compliance with environment, safety, health and quality program requirements Participate in the development of new ideas and projectsDeliver ORNL’s mission by aligning behaviors, priorities
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts. The department
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motivated individual who thinks independently but also enjoys working in a dynamic, collaborative, multidisciplinary team. Excellent scientific writing ability and strong oral communication skills
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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analysis and handling omics' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance