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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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include training neural networks to act as fast drop-in replacements for advanced X-ray timing and polarisation models (e.g. the X-ray reverberation mapping code RELTRANS), and applying advanced Fourier
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-Peliti field theory Experience in coding and analysing numerical simulations Post-doctoral experience Teaching experience Downloading a copy of our Job Description Full details of the role and the skills
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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environments. Experience with mineralogical characterisation techniques such as optical microscopy, Raman spectromicroscopy, or similar methods is required, along with basic coding skills. You should be able
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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. Experience with coding and API integrations. Proficiency in 3D modelling. Experience in game engines and deployment of persistent multi-user environments. A track record of publishing in peer-reviewed journals
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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Desirable criteria 1. Experience in Doi-Peliti field theory 2. Experience in coding and analysing numerical simulations 3. Post-doctoral experience 4. Teaching experience Downloading a
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a PhD in Physical Sciences or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key