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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
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near to completion) in a bioinformatics field, preferably related to cancer biology. Ideally you should have expertise in spatial biological approaches. You should have advanced skills in code generation
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Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and
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MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in
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inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work
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to use in model construction. To select and apply appropriate techniques and methods for predictive model development and validation. To develop reproducible analyses, curate code on appropriate
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QM-MM models to systematically consider the contributions of individual environmental influences. Carry out quantum chemical calculations of excited state properties. Implement any code necessary
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Experience interviewing victims-survivors of human rights violations and coding qualitative evidence A track record of publications Strong qualitative research and analysis skills Strong oral and written
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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to organise working arrangements that suite your individual needs. We enjoy diversity of thought, ideas, and experience within the lab and approach our work with the same mindset. All of our data and code is