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advantageous. Familiarity with space-grade hardware and radiation effects on electronics is beneficial but not essential. Strong programming skills in Python, C/C++, or HDL, along with analytical problem-solving
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familiarity with network management and orchestration tools. Applicants should also be proficient in programming languages such as Python, C, or Go, and have experience with network simulation or emulation
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software such as Matlab, R, Python or similar would be beneficial. The direction of the PhD is flexible and can be partially moulded to suit the strengths and interests of the successful candidate
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projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc
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knowledge of R or Python Molecular Biology experience (PCR, DNA extraction, pipetting) Experience working with museum samples would be a plus Further reading: https://onlinelibrary.wiley.com/doi/10.1111/mec
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this role, we are looking for candidates to have the following skills and experience: Essential criteria A working level knowledge of R and/or Python Some experience in independently designing a research
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computational elements, and some coding experience in a programming language (e.g., Python, MATLAB, Julia) are essential. The successful candidate will be supervised by: Dr Michael Short (https://www.surrey.ac.uk
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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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, fully covering UK tuition fees and providing a stipend for living expenses. Experience in vehicle dynamics, control system design, optimisation techniques, and programming (MATLAB or Python) is highly