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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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Award. The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project
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Institute. This role is especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social
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using statistical software Contribute to the preparation of reports and presentations Support the validation of the DAWNMAHP scale Responsibility for planning and carrying out empirical l work, keeping
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statistical software Contribute to the preparation of reports and presentations Support the validation of the DAWNMAHP scale Responsibility for planning and carrying out empirical l work, keeping accurate
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in the Department of Chemistry, University of Oxford, for a period of up to 3 years. The project involves the development of methods to use light to regulate transport of amino acids and to engineer