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) or similar. You should also excel at building and automating heat‑flux and temperature measurement set-ups using LabVIEW, MATLAB or equivalent software. Familiarity with ultra‑low‑conductivity materials (e.g
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) or similar. You should also excel at building and automating heat‑flux and temperature measurement set-ups using LabVIEW, MATLAB or equivalent software. Familiarity with ultra‑low‑conductivity materials (e.g
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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
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of the research theme. Some exposure to commercialisation market studies or IP processes. Strong skills in MATLAB Simulink and other modelling tools. Programming skills including software for programming DSP, PSoC
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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of developing hardware. Practical experience with optical fibres. Proficiency in writing instrument control and data analysis software (e.g., C/C++, Python or MATLAB). Excellent verbal and written communication
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such as R, MATLAB, or Python. Have excellent communication skills and the ability to work both independently and collaboratively. Show experience in or willingness to participate in postgraduate student
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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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imagingGood organisational skills and attention to detail Experience in data analytics, statistical analysis and in programming (such as MatLab, R, Python) Ability to write papers for high quality peer-reviewed