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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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science environment. ● Proficiency in coding and advanced data analysis using languages such as R or Python. ● Experience working with databases using SQL, cleaning and transforming data. ● Deep
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
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inferences from observational datasets ● Familiarity with urban ecology, aquatic plant ecology or watershed biogeochemical processes ● Proficiency with GIS About the Department Ecology, Evolution, and
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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming