624 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
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. • Working with others. Further Information You must at all times carry out your responsibilities with due regard to the UKRI: • Code of Conduct • Equality, Diversity and Inclusion policy • Health and
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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throughout your work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to
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and high-performance computing, with a strong culture of code quality, open and reproducible practices and mentoring. You’ll have access to modern development workflows and HPC resources, with
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collected including coding/geocoding, linguistic/corpus analysis, qualitative, and quantitative analysis as required. They will also have substantial volunteer liaison and management experience of working
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proficient in statistical software (e.g., Stata, Python, R) with strong documentation and reproducible coding practices. An excellent communicator, you will be able to work both independently and as part of a
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, adolescent wellbeing, education, or public health. You will be proficient in statistical software (e.g., Stata, Python, R) with strong documentation and reproducible coding practices. An excellent communicator
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep