494 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
background in semiconductor physics or engineering. If you are interested in this exciting opportunity, we invite you to apply online at: https://www.sheffield.ac.uk/eee/pgr/apply. Funding Notes Full funding
-
Direct reports N/A Our website http://www.shef.ac.uk/finance For informal enquiries about this job contact Wendy Burroughes, Head of Infrastructure Finance at w.l.burroughes@sheffield.ac.uk or Michelle
-
For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https://www.nature.com/articles/nature02749 Dey et al., Nature Physics, 18, pages 595-600 (2022) https
-
-funding, however, it other grant funding may arise such applications will also be considered. References For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https
-
data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk About the Project: Parasitic weeds such as
-
Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
-
with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: The highly
-
the Academic Training Lead, Prof. Lynda Wyld. The Academic Head of Division is Professor Steve Renshaw. Further details of the NIHR IAT pathway can be found at: https://www.nihr.ac.uk/explore-nihr/academy
-
of these optimal protocols. Funding Notes This project is for self or externally funded students only. References https://www.quantumbespoke.com/ View DetailsEmail EnquiryApply Online
-
through model forests. Granular Matter, 22(1), 1–10. https://doi.org/10.1007/s10035-019-0980-9 Zhang, Y., Shen, C., Zhou, S., & Luo, X. (2022). Analysis of the Influence of Forests on Landslides in