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stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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science, drug discovery, or related fields are encouraged to apply. Strong computational backgrounds, proficiency in at least one programming language (e.g., R, Python, Perl, C++, Java) and knowledge
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, MySQL, Jupyter Notebooks) Excellent verbal and written communication skills including the ability to communicate
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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Is comfortable with with javascript, python and React for iOS and Android Experience with/interest in electronics (pi’s/Arduinos) to develop physical, peripheral and environmental interactive devices
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software to implement the goals stated above (most likely in Python). § Disseminating results through posters/seminars and international meetings and meeting seminars. § Ensuring that all results
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Optimization models for ATM system. Strong programming skills in Python, Java etc. Good English writing and communication skills for research work. Able to work independently while contributing effectively in