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in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. A background and/or interest in mathematics or computer science would be
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demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages
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in MATLAB, Python, or other relevant programming languages Motivation to work with animal models Self-motivated, ability to work independently and in a team, willingness to conduct out-of-working hours
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment
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environments is highly desirable Programming skills in R, Python or equivalent Excellent communication skills in English High motivation for collaborative and interdisciplinary work What we offer: Work-life
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. The advances made will contribute to our active existing research programme in which utilises THz technologies for optical-pump-terahertz-probe experiments to extract mobility values of semiconductors. The role
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance