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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
and validation of key personality frameworks, with a particular focus on the HEXACO model and Schwartz's values theory. Collaborate on cultural adaptation of instruments, ensuring conceptual and
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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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Blindern, Oslo. Project description A fully funded Postdoc position is available on the development of geographic information systems methodology and spatiotemporal modelling for climate-sensitive infectious
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staff position within a Research Infrastructure? No Offer Description Reference: 665_25_LS_NLP_R3 Job title: Established Researcher Data science and AI expert for Clinical NLP and Language Models (R3
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universities and over 30 industrial partners. At the University of Southampton, our team contributes expertise in reaction engineering and kinetic modelling for catalytic, photocatalytic, and sustainable
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connectivity. You will also be in an excellent position to use your expertise in geospatial data analysis, statistical modelling, and/or ecological modelling to produce high-impact, open-access peer-reviewed
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Agreement No. 101081661, under the following conditions: Scientific Area: Physics and Energy Systems, Earth Sciences, Climate change and Environmental modelling, or similar areas. Admission requirements
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responsible for drafting data collection tools, coordinating feedback with study partners, co-facilitating the system mapping workshops, descriptive model development and testing with sector stakeholders. It
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methodology and spatiotemporal modelling for climate-sensitive infectious disease forecasting. The work will contribute to ongoing efforts to build real-time, operational early warning systems in collaboration