771 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
BBSRC Yorkshire Bioscience DLA Programme: Engineering Stomata: How Shape Informs Function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Andrew Fleming, Prof
-
Hot Isostatic Pressing for Pu immobilisation: reactions at the canister interface School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Clare
-
Synchronization of turbulent channel flow School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline: Applications accepted all
-
early recycling from macropinosomes and phagosomes to maintain surface phagocytic receptors. Proceedings of the National Academy of Sciences, USA. 2016 Oct 4;113(40):E5906-E5915 https://www.pnas.org/doi
-
datasets is a necessity, although training on that will be given. Science Graduate School As a PhD student in one of the science departments at the University of Sheffield, you’ll be part of the Science
-
of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing biological questions
-
ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof
-
pathways interact to control germination. This project will provide training in bacterial physiology, infection biology, quantitative microscopy and computational data analysis — a diverse skill set that
-
of SNARE proteins than conventional botulinum toxins, opening up the possibility of targeting new biological processes and medical conditions. The aim of this project is to characterise the biology of
-
training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as