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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
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this area will also be considered. The ideal candidate should be proficient in scientific programming (e.g., Python or MATLAB) and have a genuine interest in developing and testing experimental setups
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master’s degree in (applied) mathematics or related fields - at least basic programming skills, such as Matlab/Python - good communication skills and interest in interdisciplinary research/geophysical
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, or MATLAB) is desirable but not mandatory. How to apply: Candidates should submit a formal application: www.warwick.ac.uk/pgrengineering via the above ‘Apply’ button.
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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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Terramechanics o State Estimation, especially GNSS & IMU Sensor fusion o CANbus communication technology o MATLAB/Simulink • Research interest in one or several of following topics: o Tractor Engineering o Vehicle
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab