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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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appropriate research, teaching and administrative responsibilities. C4 Knowledge of the effect of electrical stimulation on human sensory and motor system C5 Familiarity with MATLAB or Python for signal
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physics, environmental instrumentation and use of programming languages like MATLAB and R. Applicant would also be enthusiastic, with potential to be advanced to the PhD level. A valid driver’s license is
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analysis. Demonstrated excellent problem-solving skills and the ability to resolve complex technical problems. Demonstrated proficiency with MATLAB, Python or similar analysis environments. Demonstrated
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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
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collection. Experience with psychological data collection. Experience with SPSS, R, MATLAB, and/or other research software or coding. Experience working with children and families. Experience with scheduling
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generation. Proficiency in at least one programming language (e.g., Python, R, MATLAB). Familiarity with basic nucleic acid biology and an interest in synthetic biology. Strong attention to detail and
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of conducting high quality academic research. Experience of preparing academic papers. Confidence in using statistical software (e.g. R, JASP, MAtlab) for advanced data analyses. Experience in programming
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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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, Python, SAS, MATLAB). A commitment to high-quality curriculum development, course coordination, and inclusive, student-focused learning. A developing research profile with potential for collaborative