48 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"FEMTO-ST" positions at University of Oxford
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the Department of Physics, together with a Tutorial Fellowship at Balliol College, University of Oxford. This is an opportunity to develop a world-leading research programme in experimental quantum science and
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across a spectrum of academic programmes in the department including the MSc in Applied Linguistics and Second Language Acquisition programme (MSc ALSLA), the MSc in Applied Linguistics for Language
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demonstrable experience in at least one Object-Oriented programming language (e.g., Java, Python, C#, or similar) as well willingness and ability to learn C++ as required for the role. You will also have
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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Humanities teaching team, you will be responsible for delivering subject specific elements of the programme. For Classics, this may include teaching classical languages and linguistic skills. These positions
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. About the apprenticeship As part of this role, you will be required to complete a 18-month training programme delivered by Digital Native that will cover all aspects of the role and will be delivered
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programming languages (R, Julia or Python), are essential. The post is available fixed-term until 31 March 2027, funded by the Medical Research Council. Applications for this vacancy are to be made online. You
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Manager and collaborate closely with the wider OCDEM Administration Team to support departmental activities. You are required to be educated to A-level standard with GCSE (grade A-C) level English and Maths
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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strong analytical and quantitative skills, proficiency in programming languages such as R, Python and Unix, and a track record of delivering reproducible bioinformatic analyses leading to publications in