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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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a plus Prior experience in data visualization techniques, machine/deep learning algorithms is preferable. Proficient with programming in Python, C/C++ and/or MATLAB. Strong research experience/track
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in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems
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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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. Has experience in simulation or mathematical modelling. Is confident using DES software (e.g. AnyLogic, Witness, MATLAB, Plant Simulation). Can communicate clearly and effectively with technical and non
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skills (both written and oral) with ability to communicate complex and conceptual ideas to a range of people. Proficiency in coding with Python, MATLAB or a similar platform for modelling, analysis and
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computing programming (e.g. in MATLAB), and (5) modelling of material degradation and wear-out, reliability prediction models. Familiarity with failure modes of electronic components is beneficial. The ethos