Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
This is a full funded PhD (fees and bursary) in hypersonic aerodynamics in collaboration with EPSRC. The overall aim of the research is to investigate what are the aerodynamic interference
-
This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
-
A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University. This is a great opportunity to work closely with Thales UK, who are a leading
-
market structures. This PhD project focuses on designing a sustainable business or turning an existing business more sustainable by implementing circular practices incurs a range of holistic implications
-
companies Our research publications and data Case studies Research projects Research Why research at Cranfield? Sustainability at Cranfield Theme Research Strategies Hydrogen Gateway Research Excellence
-
, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
-
, access, technologies, perceptions and discourses converge in time and space to impact the health and quality of freshwaters. In this project, the PhD student will adopt a critical perspective on the cause
-
on developing an innovative framework grounded in Design for Dynamic Management, we integrate AI and predictive analytics to enable adaptive decision-making. This PhD research at Cranfield University aligns with
-
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
-
robot as well as the Mechanical Testing Lab in the School of Aerospace, Transport and Manufacturing. At a glance Application deadline15 May 2024 Award type(s)PhD Start date30 Sep 2024 Duration of award4