306 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
developing and expanding the CTRU portfolio into trials of cancer interventions. Leading a unit of nearly 100 researchers that sits in the School of Medicine and Population Health, you will make a full
-
this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
-
-based sensing. This PhD project offers the opportunity to design and develop innovative optical measurement instrumentation based on one or more of these themes, evaluating their performance across
-
”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
-
downstream translational implications in developing better crops. Chloroplast is arguably the most important organelle for sustaining life as it is the main hub of photosynthesis, the process by which sunlight
-
opportunity for the successful applicant to develop further towards leading an independent academic career at the interface of AI and engineering applications (such as advanced manufacturing). The role holder
-
opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go above and beyond in
-
for self-reflection on your performance and progress. You will meet regularly with senior core technical staff and technical managers to discuss your progress and development. You are expected to demonstrate
-
Overview Join a world-leading team developing life-changing treatments for people with MND Working in multidisciplinary Better Outcomes for MND team based at the Sheffield Institute for Neuroscience
-
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
learning. The research will explore how AI-enabled adversaries manipulate ICS environments (e.g. robotic arms, sensor networks) and develop robust detection and response frameworks. By combining real-world