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Field
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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stakeholder engagements and respond to evolving technical needs Job Requirements: A strong background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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is required. Strong proficiency with programming, especially in python and optionally in C/C++. Strict adherence to open source software and open science models. Ability and willingness to work as part
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technologies, is highly desirable. Skills: Strong knowledge of clinical informatics frameworks, standards, and methodologies. Proficiency in data analysis software (e.g., R, Python, SAS, SPSS, SQL) and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
in writing to bioinformatics and non-bioinformatics audiences of all levels. Comfortable working and handling several concurrent projects. Knowledge of Python or R is preferred. Ability to analyze
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. Qualifications Requirements & Preferences: PhD in related field Proficient in R, Linux, and python Possess a working knowledge in genomic sciences (i.e., genome sequencing and data analysis) and sequencing
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. The ideal applicant is expected to: • possess a strong programming skill in at least one language in Python, R, or C/C++ and proficiency in use of Linux/Unix command-line system • possess a demonstrable
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publication, and grant/proposal development. • Experience with hands-on prototyping, experimental research, interdisciplinary collaboration, and data analysis using tools such as Python, MATLAB, R
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statistics. Knowledge/Skills/Abilities A high level of skill in GIS, computer modeling, data analysis using SAS. Good working knowledge of programming languages VB, R, or Python. Knowledge about coastal