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charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise in firmware development and optimization for microcontrollers and embedded systems
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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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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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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, 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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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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(e.g. Python, Fortran, Matlab, C++). Skills Demonstrable ability to work cooperatively as part of a team, including participating in research meetings. Ability to work independently on own initiative and
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages