420 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
professional reasons in an academic environment. The course is roll-on/roll-off with students staying for a minimum of two weeks. It runs separately from our large pre-sessional programme. Duties also include
-
Relevant Discipline. • Experience in numerical modelling/materials. • Strong mathematics, physics, and computer programming skills. If English is not your first language, you may be required to provide
-
of such program could be done in case of it was necessary. For instance, for the linkage of new material models or certain numerical features such as a new finite element. This research will benefit from excellent
-
Vision solutions to showcase potential process improvements to manufacturing companies. You will work alongside other Engineers to deliver research that has real-world benefits. You will be a student
-
computational implementation and validation against experimental observations. The PhD offers in-depth training in multiphysics modelling, computational mechanics, and high-temperature material behaviour
-
. • Experience in numerical modelling/materials. • Strong mathematics, physics, and computer programming skills. If English is not your first language, you may be required to provide evidence of English language
-
Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
-
power grids against geomagnetic disturbances and radiation hazards. While data-driven models have gained prominence, balancing high-fidelity predictive accuracy with physical interpretability remains a
-
Overview The School of Psychology at the University of Sheffield is seeking to appoint a Research Associate to work on MENTOR 3.0, an NIHR-funded research programme focused on workplace mental
-
failure is characterized by different damage modes such as fibre kinking, fibre rupture, matrix cracking or delamination, which makes challenging to calculate an exact prediction of the failure process