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, immunoblotting, and confocal microscopy is essential. • Proficiency in statistical software/programming knowledge, such as GraphPad, R, Python, MATLAB, etc., will be advantageous. • Experience in
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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
, the candidate should have extensive knowledge of DDA and DIA proteomic data processing using MaxQuant or similar software packages. Your responsibilities The successful candidate will focus on developing methods
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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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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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of ownership of intellectual property rights regarding software, mathematical methods, and rules of mental activity. Participation in standardization committees and the drafting of legislative projects and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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. Professional skills: the ability to extract information from literature as well as public resources and databases such as deepmap and C-bioportal, ability to use statistical software, ability to present results