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Innes Centre Department of Crop Genetics, including molecular biology laboratories, glasshouses and high-performance computing facilities. The post holder will be a strong team player, able to work
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their potential to produce a new generation of ultra-high performance artificial intelligent devices that has ignited researchers’ interest in these remarkable devices. The aim of this position is to
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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chemistry and materials science. The successful candidate will be responsible for carrying out high-level quantum chemical calculations (e.g. CASSCF, NEVPT2, …) on high-performance computing systems, curating
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, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply
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science, computer science or equivalent experience. Knowledge, Skills and Experience 2. Knowledge of research methods and techniques within specialist field of data science and/or building performance. 3
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with the ability to meet deadlines and produce publishable research. Experience with deep learning applications in seismology, using high performance computing (HPC) environments, field experience with
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, Women's and Reproductive Health, Population Health, Global Health, Cardiovascular Science, Clinical Trials and Health Informatics, in a unique grouping that spans the life-course. Comprehensive Clinical
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on cooling. The successful candidate will undertake research duties to support the work programme of the Impact Delivery project ‘Tool for quantifying the long-term thermal imbalance of ground-source heat
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project with project partners from different sectors, including Health Informatics Centre (HIC) at the University of Dundee for providing a secure cloud computing platform and clinical researchers from NHS