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interpreted using Python and R. Many tasks are performed using Princeton’s high performance cluster computers. Data Collection and literature review: This position will give assistance to Princeton University
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optoelectronic bring-up. Ability to program for data analysis/signal processing (e.g., Python or MATLAB). Preferred Qualifications Hardware–software integration and embedded control. Field deployment experience in
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software/languages such as Python, JavaScript, D3 and HTML5 is required Applicants with Android/iOS app development experience and research publications in data visualization area will be advantageous Self
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Background in mathematics and statistics, UNIX, R and Python • Any required documents for the application: o Curriculum Vitae o Professional References (3) • This position is represented by the University
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visualization software (e.g., Tableau, Looker Studio). Digital mapping tools (e.g., QGIS, Google Earth, ArcGIS). Digital annotation and text analysis software (e.g., Voyant, MAXQDA, NVivo, or Python for text
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. Research interests in mathematical biology. Preferred Qualifications: Experience teaching and mentoring students. Strong coding experience, preferably in Python. Department/Program & College Description
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to write automation scripts (e.g. Bash, Python, Ansible etc.) Experience in private and public cloud environments (e.g., vCenter, OpenStack, AWS etc.) CCNA (Routing and Switching) or equivalent certification
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Proficiency using Python Data Architect Senior Minimum 3 years' of professional experience. Comfort translating code for SQL servers to Oracle servers and vice versa Strong analytical, time-management, problem
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(e.g., handling bacterial or fungal cultures) - Basic knowledge of antimicrobial or inhibition assays - Good data handling and data processing skills (e.g., in Excel and GraphPad Prism, Python etc
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in robotics, control systems, and intelligent automation. • Strong foundation in programming and systems integration (e.g., C/C++, Python, ROS, MATLAB/Simulink, microcontrollers). • Familiarity