365 postdoc-in-thermal-network-of-the-physical-building positions at University of Cambridge
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free yoga and bootcamp sessions To learn more about this role, or to make an informal enquiry, please contact Flavia Bartoletti - Communications Team - on comms@lucy.cam.ac.uk . To apply for this role
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institute. Your responsibilities will extend beyond inventory management, as you will also support the Laboratory and Buildings team with a range of operational tasks. These include ensuring a steady supply
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technical nature and be able to build internal and external contacts. The successful candidate will have a proven record of internationally outstanding research, a PhD (within the last three years (2022
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fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications
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actively support career development and would encourage applicants looking to build toward fellowship applications. You will lead bioinformatic investigations into the cellular immune pathogenesis of anxiety
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Assistant will, in particular, support ongoing efforts within the HEAT project (including updating the framework as further EU guidance gets released and building a parallel framework for engaging civil
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an excellent variety of IT work for an experienced all-rounder, and will include staff support in office and laboratory areas, regular server, storage and network maintenance tasks, and planned projects
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effectiveness of advertising campaigns. Advertising networks usually place them with the website operator’s permission. These items allow the website to remember choices you make (such as your user name, language
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effectively with students, staff and parents. Make use of the communication tools and systems stipulated by the school only. Ad hoc duties: Support the school with additional transport requirements, such as
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disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models. The applicant will join a friendly