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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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with GWAS or large-scale genetic data Knowledge of statistical modelling, including longitudinal or multivariate methods Ability to work independently, meet deadlines, and prioritise tasks Excellent
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across an organization or large team. 4. General knowledge of technical infrastructure, platforms, and tooling used to support computational- and data-dependent research (e.g. private cloud, virtual
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be responsible for leading on student experience and student voice initiatives, responding to student feedback and data accordingly to ensure shared priority goals across all key stakeholders
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About us The Research Grants Manager (Post-Award) will oversee the financial and administrative management of two high-profile, large-scale research projects. Approximately half of their time will
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research methodologies and statistical analysis, particularly in relation to big/longitudinal data, using script-based statistical packages (e.g., R, Stat, MPlus). Experience with longitudinal modelling
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of the academic cycle across a large suite of Undergraduate and Postgraduate programmes . About The Role This is an exciting opportunity to work as a Programme Officer in a busy, vibrant and supportive team within
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to parametrize and verify the Kernel Polynomial method to calculate electron-phonon coupling in large nanoparticles, which will be developed by another postdoc working on the project based at Imperial College
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compliance of computer systems for use in the delivery of drug studies Sponsored or Co-Sponsored by the Partner Organisations; maintain relevant internal databases for the purposes of tracking performance
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education; language, culture and communication; and public policy. We are a part of the Faculty of Social Science & Public Policy and are based at our Waterloo campus. For more information about the School