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Field
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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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journal article(s) / GitHub). Excellent communication skills in English, both oral and written. Documented experience with scientific programming (e.g., Python, Matlab, R). You must meet the requirements
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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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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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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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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
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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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, HampsonRussell, RokDoc, Interactive Petrophysics, PowerLog, Jason, and Visage Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good
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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science