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discipline *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in atmospheric physics and chemistry Enthusiasm for coding of complex atmospheric
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Reinforcement Learning etc Coding: Develop and maintain clean, reusable code repositories in C++ and Python for the lab's research projects Provide technical support to students and professors during lab sessions
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quantitative data analysis (e.g., SPSS) and qualitative thematic analysis (e.g., NVivo or manual coding) through either conducting a previous research project or completing relevant coursework or both. Ability
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, which focusses on the genomic and evolutionary origins of plant traits. Our project, in collaboration with the University of Sheffield, Bristol and the John Innes Centre, has identified a novel non-coding
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and participate in scientific development. A PhD (or relevant experience) in ecosystem service modelling at global or national scales is essential alongside experience in the production of novel code
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(version control, testing, maintainable code). Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo. At least 2 years of experience in robotics research or industry projects.
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codes of practice. As a member of our team, you will have a positive approach and be a colleague that the team look forward to working with and building strong relationships with others to accomplish
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(Agresso) system. Responsibilities include supervising invoice processing, ensuring appropriate coding and authorisation, managing supplier account reconciliations, resolving queries with internal budget
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learning in chemistry would be advantageous, as would familiarity with ML approaches for atomistic modelling (e.g., MACE, ACE, NequIP, PhysNet, reactive MD). Prior contributions to scientific code
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code of ethics and a complaints procedure. You must be a registered mental health practitioner with significant clinical experience. You will have exceptional knowledge and in person experience