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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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that the selection process is consistent with the law and the College’s Equal Opportunity Policy and Code of Practice. You are asked to complete the Recruitment Monitoring Form which is completed through the online
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having good visibility of how the system and its parts respond to faults, events and trips (unlike the recent Iberian experience). For example, Statkraft is the proposer of Grid Code Modification GC0181
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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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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IrO2. We are looking for a highly motivated independent learner with good coding skills to work with us at the interface of AI and electrochemistry. As a PhD researcher, you’ll work at the forefront
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Sciences, Materials Science, chemistry, physics or a related physical science discipline to join our research group. Some knowledge or previous experience in petrology, materials processing, coding or data
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coding, entry validation and reporting, with critical and intelligent attention to detail and high standards of accuracy. You will have effective communication and inter-personal skills, including written
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data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R Experience writing academic publications independently
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you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References References Harwood, N. (2005