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Field
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Physics. Skills in Python and/or MATLAB programming are highly desirable, as are skills in both verbal and written communication in English.The PhD programme will be supervised by Dr Finnigan Illsley-Kemp
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of the following areas: Optics and microscopy, including experimental setup design and assay development Data analysis and programming, preferably using MATLAB or Python Experience in microfluidics and
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experience in Matlab (punctuation: 55) Item 03: Interview. Only those candidates who have obtained an aggregated score higher than 50 points in the previous two items will be interviewed (punctuation: 15
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techniques (punctuation: 20) Item 03: Experience in experiments with lampreys or other basal vertebrate models (punctuation: 15) Item 04: Experience using programming tools (Matlab/Python) for data analysis
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techniques (geomorphic mapping, TruPulse, DGPS/drone surveys), engineering geology methodologies (slope stability, rock strength assessment), coding (python/matlab data analysis and modelling) and transferable
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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
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programming (e.g., Python, MATLAB). Energy system modelling expertise with experience in academic research Preferred Skills: Educational background in Electrical Engineering, Computer Science, Renewable Energy
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geophysics, physics, applied mathematics, or computer science will be considered. Expertise in high-level programming language like MATLAB or Python is essential. Where to apply Website https://emploi.cnrs.fr
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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environment Proven ability to use a scientific programming language such as python or MATLAB for signal processing A desire to improve therapies available to patients with neurological conditions Excellent