Sort by
Refine Your Search
-
on operations. To support development of complex multi-layered systems and to inform rapid decision-making, this project will develop advanced Machine Learning (ML) architectures that learn directly from a
-
computer science, with a focus on data management, distributed systems, machine learning, or related fields. Previous coursework or experience (e.g., thesis) in one of these areas is desirable. Proficiency in
-
University, University of Edinburgh and Leonardo. We are pleased to invite applications for a PhD studentship to work as part of a leading team of experts. This studentship will be supported by an enhanced
-
) the Computation challenge: To create new signal processing & machine learning methodologies that enable intelligent, digital & connected sensor products while mitigating the data deluge from the multiple sensors
-
signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to: wide area motion
-
an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
-
Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
-
and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning
-
PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
. The application of Machine Learning (ML) to estimate the properties of polymer membranes for gas separation, including solubility, diffusivity, and permeability is gaining traction. However, significant untapped
-
required to induce unstable growth, the natural frequency and oscillation dynamics under ultrasonic irradiation, and their jetting collapse dynamics. You will learn how to set up, run, and post-process large