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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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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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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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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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(e.g., C/C++, Python or MATLAB). • Excellent verbal and written communication skills • Excellent teamwork skills, with the ability to collaborate effectively across disciplines. This milestone
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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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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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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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or reinforcement learning, and good programming skills in Matlab and/or Python. You will have completed an undergraduate degree or MSc in a quantitative discipline. The Humphries’ group (https://www.humphries