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Field
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development Proficiency in complex data analysis Knowledge and experience with R, Python, MATLAB Familiarity with statistics methods, large data sets and data visualization Ambition, drive, strong work ethic
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C
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/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and
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experience in Python, experience working in a Linux environment and related scripting languages and a record of contributing to publications in IEEE, ACM or USENIX. What we offer At the university of Oxford
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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families. Experience with MEG, OPM-MEG, EEG, or related neuroimaging techniques and familiarity with programming software such as python would be desirable. Diversity Committed to equality and valuing
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Python or another programming language Ability to manage own research and administrative activities Excellent communication skills, including the ability to write text that can be published, present data
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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks