562 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
-
Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
-
Work arrangement Full-time Duration Fixed-term for 3 months, during summer 2026 Line manager Project grant holder Direct reports N/A Our website https://sheffield.ac.uk/cmbe For informal enquiries about
-
of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
-
funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid
-
-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
-
, 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
-
to apply, please visit https://PLusPortal.PerrettLaver.com quoting reference number 8251. For informal inquiries please contact Thomas Cameron at Thomas.Cameron@perrettlaver.com . The deadline
-
discrete (switched) way. The controller must learn a model of the system while the latter is being controlled. While seemingly straightforward, this raises several technical and theoretical difficulties
-
acid, gibberellin, auxin and ethylene. You will work closely with Dr Jim Rowe, an expert in plant stress biology, molecular biology, imaging and image analysis and to learn modern research techniques