64 cloud-computing-"https:"-"https:"-"https:"-"https:" scholarships at Newcastle University
Sort by
Refine Your Search
-
career in the pharmaceutical industry or academic computational chemistry. You can find further details about the supervisory team and collaborators at the following links: https://blogs.ncl.ac.uk
-
the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
-
, artificial intelligence (AI), and cloud computing expand. This growth presents both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive
-
certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete document as your Personal statement, and upload with your application. Applications which do not
-
equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
-
, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
-
, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
-
this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study
-
. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through
-
simulate hydrodynamic and pollutant transport processes, their computational cost limits their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics