530 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the feasibility and acceptability
-
under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
-
of the most significant challenges facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PuMaS hub will support ~20 PhD students along
-
will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
-
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
-
, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
-
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
-
information with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff
-
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
-
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