510 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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the Department of Earth Sciences at the University of Cambridge and will work closely with Prof. Sally Gibson and all co-investigators in the research team. They will undertake petrological investigations and
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support the work of Prof. Francesca Palombo. This University-funded post is available from 1st August 2025 to 31st July 2028. The successful applicant will design and construct a microscope that combines
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Deadline 6 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Excellence at King’s. About The Role Applications are invited for a talented and enthusiastic postdoctoral scientist to join Prof Mauro Giacca’s laboratory at the School of Cardiovascular and Metabolic
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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the research team around Univ.-Prof. Dr. Philipp Grohs. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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Machine Intelligence and Decision Systems (MInDS) group led by Dr Anthony Constantinou, and the Antennas & Electromagnetics group led by Prof Akram Alomainy. The project is funded by the Defence Science and
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based