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Field
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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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of Research Experience1 - 4 Additional Information Eligibility criteria - Publish scientific results - Exchanges with international scientific colleagues - Statistics and skills in programming (Python, Matlab
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practices in the US agriculture. Proficiency in R, Python, Matlab, or other common programing languages (e.g., C/C++). Strong computational skills. Strong oral and written communication skills. Stipend
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environment such as Matlab/Simulink. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and
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data analysis on Matlab. • Developing and using models to characterise the soft robots (both sensor and actuator). • Knowledge of programming (C/C++/python/MATLAB), using a prototyping board like Arduino
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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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with analysis of time-series of neural data Proficiency in programming custom analysis pipelines (e.g. Python, MatLab or similar) Excellent written and oral communication skills in English. In addition
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, informatics, genetics, medicine, psychology, or an equivalent field. Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical
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Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
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pragmatic approach. C9 Good Team Leadership skills including demonstrable supervisory skills. C10 MATLAB or other programming languages (as noted above). For appointment at Grade 8: C11 Able to work both