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tools, and custom Python code, track data movement and progress throughout the system. Leveraging strong Python, PostgreSQL, Unix, and data transfer method expertise, ensure efficient and reliable data
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programming and graphing complex and custom statistical programming using statistical software. Proficiency in R, Python, and bioinformatics tools such as Seurat, Scanpy, salmon, kallisto, DESeq2, and limma
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, computational / programming. Basic knowledge of bioinformatics methods and data structures. Basic knowledge of applications programming and web development. Familiarity with C/C++, Python, R with the ability
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using aerosol, bottle and passive sampling devices. Knowledge of physical oceanography. Experience processing oceanographic data using software such as Python, Matlab, Visual Basic, or ODV; knowledge
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language(C), object-oriented programming (C++, Python). Demonstrated experience assisting with the design of equipment and incorporating the design into a multi-functional system designed by several
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experience and expert-level proficiency in Java, TypeScript, JavaScript and Python, along with their associated application development environments. Deep understanding and mastery of advanced computer
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including, but not limited to, Python, MATLAB, NCL and other common programming languages or mapping software in geoscience (e.g., ArcGIS/QGIS). Familiarity with and experience in analyzing gridded
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an oceanic environment. Experience with developing electrical and mechanical schematics and CAD drawings Knowledge of Matlab and Python programming languages Theoretical knowledge of design, testing of electro
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(BICD 100), Microbiology (BIMM 120), Python for biology (BILD 62), and Ecology/Evolution (BILD 3). Lab courses include Introductory Biology Lab (BILD 4), Recombinant DNA Techniques (BIMM 101), Biochemical