555 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Primed for Protection: Cell Wall Modifications in Plant Defence and Long-Term Immunity School of Biosciences PhD Research Project Competition Funded
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BBSRC Yorkshire Bioscience DLA Programme: Signalling complexes and cell wall changes during plant reproduction School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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Computational Circular Design: AI-assisted optimisation for disassembly (C3.5-AMR-Casamayor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Jose
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr M Val Martin
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ACCE+ DLA Programme: Small size, big impact: the importance of mosses and lichens in arctic ecosystem function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Computational photochemistry/Vibrational control in transition metal complexes School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
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Zero-Knowledge for Quantum Proofs: Quantum Computation and Cryptographic Primitives (S3.5-COM-Abdolmaleki) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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accessible measure of location. One option is to use skew versions of know distributions that leave the mode or median of the distribution at the origin. The main objective of this project is to explore, from