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, and Python to process vector and raster data for agronomic decision-making - Documented experience with producing educational communications and programming - Demonstrated ability to effectively
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or electrophysiology, and proficiency in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and
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, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python
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. Software and programming experience may include: R, STATA, Esri Arcmap, python, Leaflet, PostgreSQL, CSS, JavaScript, JQuery, Bootstrap, PHP, QGIS, PostGIS, Mapserver, Tableau, Openlayers, Geoserver, R Shiny
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skills in C/C++ and Python Relevant experience in deep reinforcement learning A proactive attitude towards achieving research excellence Demonstrated commitment, teamwork abilities, and critical thinking
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/or computational biology. They should be capable of working collaboratively, supervising others, and taking on leadership responsibilities as needed. Proficiency in scripting languages such as Python
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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commonly used scientific scripting languages (e.g., Python, SQL, or R). We also seek candidates with good communication skills in spoken and written English, and an ability to produce state-of-the art
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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languages such as Matlab and Python, along with experience in dielectric spectroscopy, ellipsometry, and calorimetry, is highly valued. Prior involvement with nanoconfined systems and nonequilibrium