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computational design for climate-adaptive urbanism. Your network and team You will work closely with Professor Dr. Pia Fricker (https://research.aalto.fi/en/persons/prof-dr-pia-fricker), whose professorship in
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researchers to join our UKRI Ayrton Challenge Programme project “Sustainable Cooling Infrastructure for Fisheries in Indonesia (SCI-FI)”. SCI-FI is an ambitious interdisciplinary initiative that aims to create
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communication in space and in terrestrial networks. We are a dynamic and international team of ten researchers including postdocs and PhD students. The group has well-equipped laboratories for quantum optics with
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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typologies, supporting case study selection for fieldwork. Collaborate with healthcare partners, architects, and computational specialists to ensure robust interdisciplinary methodologies. Co-author high
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Modernising Medical Microbiology (MMM) unit at the University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational
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their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University Role Description We are seeking
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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Applicants are invited to apply for one Marie Skłodowska-Curie Doctoral Network Researcher position funded by Horizon Europe Marie Currie Doctoral Network grant of the Commission of European Council
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research project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative