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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity
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, numerical modeling, or a related field. • Experience in biogeochemical modeling and data assimilation. • Proficiency in programming languages (Python, Fortran, Matlab, or equivalent). • Knowledge of ocean
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requirements: A preference will be given to individuals able to work in statistical software such as Matlab, STATA, Python or R. Research interest and research experience in the aforementioned scientific fields
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of neural population data. Experience with scientific programing languages (e.g., C/C++, Python, and Matlab). Experience working in a collaborative, multi-disciplinary environment and exhibit good
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Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication protocols (Modbus TCP, IEC 61850, etc.). ; Minimum
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication
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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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experience in hardware implementation and experimental validation of robotic systems; and demonstrated proficiency in robotics programming and simulation environments (e.g., ROS, MATLAB/Simulink, C++, Python
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., MATLAB, Python, or equivalent). Good written and oral communication skills, with demonstrated ability to prepare high-quality research publications and technical reports. Strong problem-solving skills and
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analysis to estimate ecological parameters, and implementing models in Matlab. You will work closely with a diverse team of around 20 field ecologists and modellers, as well as international collaborators