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Field
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algorithms and efficient programming. You can show a proven track record in object-oriented programming as necessary in larger software development teams. You are capable of scientific programming in Python
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Biology Research Institute / Unit Information The MRC Laboratory of Molecular Biology (LMB) is one of the birthplaces of modern molecular biology and has played an important role in the development of many
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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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. The post is funded by NIHR Oxford BRC and is fixed-term for 12 months in the first instance. About The Role The ideal candidates will have experience in developing, implementing, and evaluating healthcare
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
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that the solutions provided are correct. It will involve a mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which
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of algorithms for automatic analysis of data received at the backend. About You You should hold a MSC degree in a relevant field, and have experience of web development, SQL or NoSQL database management systems
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energy, personalized medicine and climate science and we need your help to develop tools and workflows to drive exploitation of this world leading resource. You will also play a key role in fostering a
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Martin and Professor Daniel Paulusma from Durham University and Professor Vadim Lozin from the University of Warwick. The general aim of the project is to develop algorithmic meta-classifications, which
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web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms