627 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Carbon Capture Rice School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Julie Gray, Prof Katie Field Application Deadline
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trenching, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
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BBSRC Yorkshire Bioscience DLA Programme: Human Stem Cell-Based Approaches for Neurotoxicity Testing of Environmental Contaminants (CASE Project) School of Biosciences PhD Research Project
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neurological and cardiovascular disorders. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References GONZÁLEZ-SANTANA, A., ESTÉVEZ-HERRERA, J., SEWARD
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backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable
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of Fortinet security appliances (Fortigate) Desirable Application and interview Knowledge of cloud infrastructures (AWS, Azure, GCP etc) Desirable Application Further Information Grade 8 Salary £48,822-£58,225
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BBSRC Yorkshire Bioscience DLA Programme: Deciphering proton shuttling on the surface of biological membranes toward proton translocating channels School of Mathematical and Physical Sciences PhD
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate