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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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awards (Athena Swan, Carer Positive, Race Charters). We celebrate diversity by promoting profiles of BAME, LGBTIQ+ Disabled and Neurodiverse staff and supporting networks including the Staff BAME Network
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to diversity awards (Athena Swan, Carer Positive, Race Charters). We celebrate diversity by promoting profiles of BAME, LGBTIQ+ Disabled and Neurodiverse staff and supporting networks including the Staff BAME
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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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a network and experience working in cross functional and international teams Hands on mentality with Experience with wet-bench processes and chemical handling in lab. Experience with material
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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
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landscape. The successful applicant will work with Programme Director, Professor Gemma Moss and other members of the research team to: identify education networks and partnerships active in different parts
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the Zero Net Emissions Agriculture CRC initiative , focusing on developing tropical grasses with low methanogenic properties to help combat agricultures impact on our environment. This position contributes
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
accumulations of carbon in the atmosphere (achieving “net zero” emissions) by 2050 and involve major structural and behavioural changes globally. Forests capture carbon from the atmosphere, a proportion of which
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areas related to neuronal differentiation, degeneration and regeneration, ion channels and membrane physiology, synaptic mechanisms, neuronal circuitry, sensory biology, artificial neural networks, and