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an environmentally sustainable community. We are striving towards achieving net zero carbon emissions and biodiversity net gain and believe that sustainability is a shared responsibility and integral to all roles
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projects, including community led energy generation, local heat networks, and the retrofit of domestic and community properties to improve social outcomes, health, and employment, working closely in
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Royal Commission for the Exhibition of 1851; | United Kingdom, | United Kingdom | about 20 hours ago
Networking & events throughout the Fellowship What type of candidates? The Commission is looking for bright graduates who have a good first (undergraduate/Masters) degree in science, medicine, engineering or
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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41 days off a year and generous pension schemes). Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and
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operation of the umFm module unit used in vertical farm which includes handling of soil compost, irrigating of the crops and taking note of the sensors incorporation in the vertical farm inhouse. Job
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Engineering at Southampton you will benefit from the extensive network of collaborations with members of the group. There will be an opportunity to guide PhD and Master students. Funding is available initially
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that uncover spatial organisation and predict dynamic behaviours in complex tissue systems. Drawing on ideas from ecology and network theory, you will build new tools to model spatial biological processes
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or