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Field
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . Further Information This full time, fixed term
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internal and external networks of researchers to foster research collaborations, to identify and deliver common research objectives and to generate income. You will also lead the development of knowledge
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maritime logistics network. You will assist in the planning, coordination, and execution of the project, manage research resources, and contribute to the dissemination of research findings through
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. Experience in commercial CFD package such as ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software
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activities. You will be based within ECCD at the University’s Boldrewood Innovation Campus, and you will be embedded within a professional network of academics and researchers addressing the energy studies
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Fellow will undertake research tasks during the project with the support of the project’s coinvestigators based at Queen’s University Belfast and the network of project partners. The post is fixed-term
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Fellow will undertake research tasks during the project with the support of the project's coinvestigators based at Queen's University Belfast and the network of project partners. The post is fixed-term
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impact activities. Ability to build and maintain professional contacts and participate in internal and external networks. A strong publication record reflective of career stage that is REF returnable and
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tasks, supporting senior researchers and working across our national and international network. We expect the successful candidate to contribute to our unit’s already excellent reputation. The department