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, and employ high-throughput computational screening and materials informatics, to identify promising candidate materials. Aim You will work with Dr Sanliang Ling and Prof Alasdair Cairns. You will have
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’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F. Leave the ‘Research Area’ field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the
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of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
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toward net-zero emissions. Number Of Awards: 1 Start Date: 1st October 2025 Award Duration: 4 years Application Closing Date: 16th June 2025 Sponsor EPSRC Supervisors Dr. Libing Cao Prof. Barrie Mecrow
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honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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closely linked to the working group of Prof. Ulf Karsten at the University of Rostock and the overarching program “STB – Shallow Water Processes and Transitions to the Baltic Scale” (STB – Processes in
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Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
@demogr.mpg.de), Prof. Mikko Myrskylä (office-myrskyla@demogr.mpg.de) and Prof. Hill Kulu (Hill.Kulu@st-andrews.ac.uk). For informal enquires about the application process please contact Helen Olaez
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods