665 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in United Kingdom
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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North Cumbria Academic Health Sciences Network. NHIP forms an organisational partnership that allows practitioners, researchers and innovators to come together to discover, develop and deliver new
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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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Hussam Jouhara. The successful applicant will be joining the Heat Pipe and Thermal Management Research Group, led by the Professor Hussam Jouhara, to work on the above-mentioned research tasks and project
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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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a role model and fostering an inclusive working culture. Interact with both academic and industrial collaborators in the project teams, and building internal & external contacts and networks Help with
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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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Regulations for the various process in the project. Coordinate procurement and liaison with vendors/suppliers for equipment training, maintenance and operation issue. Work independently, as well as within a
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you investigate? Outline of the project aims: Standard models are scientific crown jewels, synthesising and organising existing knowledge to make empirically-testable predictions in new domains