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of standards around managing, protecting and re-using information, including information security best practice and data protection principles. Desirable criteria Experience of workload modelling including
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contain more than one million atoms). In this project, we will develop a new atomistic modelling approach based on the Kernel Polynomial method that will overcome this challenge. The successful applicant
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capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state-of-the-art AI tooling for use by pharma/biotech/life
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academic, contributing to both education and research at King’s College London. Preference will be given to the candidates whose research interests are a good strategic fit with the Faculty’s and
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required (Fit for King’s, etc). About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Level 3 award/certificate in
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-vis and EPR spectroscopies, magnetometry, cyclic voltammetry). Some experience in characterising paramagnetic compounds, modelling organometallic mechanisms, as well as basic density functional theory
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across the portfolio, and working within the overall allocation of resources. The postholder will work with business leads to scope new projects within the portfolio, conduct data analysis, agree
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role involving helping maintain the dental teaching Phantom Head models in the Floor 20 undergraduate laboratory. Key responsibilities and objectives of the role include the provision of day to day
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and multiple priorities Desirable criteria Knowledge of data modelling/ analysis techniques Experience of using Microsoft Dynamics and its associated applications such as Customer Insights Experience
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to the level and character of work as may reasonably be required within the Department. You will be expected to deliver a high level of customer focused service and participate in training when required (Fit