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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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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
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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
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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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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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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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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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response windows) and balance metrics using appropriate software (e.g. MATLAB, EEGLAB, BrainVision Analyzer). Manage research data in line with ethical and GDPR standards, including anonymisation, secure