146 algorithm-"Multiple"-"U"-"Prof"-"Simons-Foundation" positions at University of Oxford in United Kingdom
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focus on professional service provision and will have excellent interpersonal and communication skills. They will be well organised and able to prioritise and handle multiple tasks simultaneously while
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manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will adapt existing and develop
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gain experience across multiple scales of cardiac research, from in vivo phenotyping of genetically modified animal models to molecular and super-resolution imaging techniques at the cellular and
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experience and interests. This is a great training opportunity for a collaborative scientist to work alongside scientists across multiple departments on the South Parks Science Campus, including the Department
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administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will support grant writing with the team and work towards independent
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management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available as soon as possible. Application
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provides essential support to the 50 staff members who work across multiple programmes and project strands. The main focus of this role will be on the administration of financial and personnel procedures
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across multiple leading institutions with international collaborators across 5 continents. The postholder will be involved in the development and implementation of novel behavioural and fMRI tasks and
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clinical trial data sets for analysis, publication, and, where appropriate, future data sharing. Data from multiple sources needs to be integrated in an efficient and compliant way that supports appropriate
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problems, working collaboratively across the partnership to overcome issues, and you will design database schemas for large scale data and pool together and harmonise data from multiple modalities and