387 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in United Kingdom
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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Description here. About you To succeed in this role, you will have a strong working knowledge of SEND legislation and EHCP processes within a Further Education environment, including the SEND Code of Practice
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, machine listening or immersive media • Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines • Strong
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data governance Business process modelling, workflow automation, and low-code/no-code platforms Digital product management and agile delivery methodologies The role will involve contributing to our
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study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need
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compliance, training, and inductions for staff and contractors, and serve as the main point of contact for health and safety matters. You will write and maintain SOPs, risk assessments, codes of practice, and
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licensing, security, health, safety, environment and wellbeing, financial and other University policies, procedures and codes as appropriate. To provide a service to customers during arrivals / departures
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will drive continuous improvement through code and automation, using tools such as Puppet, Spack, and GitLab/GitHub repositories to deploy solutions and manage CI/CD pipelines. Whether you are
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delay of transition to turbulence. The methodology of the research is theoretical and numerical, i.e. an existing in-house code will have to be modified. This project offers the unique opportunity
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) as well as Master’s level training in quantitative research methods (or demonstrable comparable skills). You will have the ability to conduct reproducible (using code) analyses using R or Stata