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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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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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. Background with relevant packages (e.g., MATLAB, SolidWorks/Creo, ROS/ OpenCV/ python, LabVIEW/C languages). A driven, professional and self-dependent work attitude is essential. Experience working within
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, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
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/robotic systems Ability to implement control and kinematics with hardware-in-the–loop Background with relevant packages, (MATLAB, SolidWorks/Creo, ROS/ OpenCV/ python, LabVIEW/C languages) A driven
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to implement control and kinematics with hardware-in-the–loop ◾Background with relevant packages, (MATLAB, ROS/ OpenCV/ python, LabVIEW/C languages) ◾A driven, professional and self-dependent work attitude is