-
Funding providers: Siemens Mobility, Faculty of Science and Engineering Subject areas: Computer Science, Software Engineering, Software Testing, Verification, Software Certification Project
-
candidate is expected to have a solid background in applied mathematics/statistics/computer science or related discipline. Advanced coding skills are a big plus. This position is fully-funded and research
-
, computer modelling and innovative ideas and wishes to contribute to a healthy planet. Your background could be in physics, physical chemistry/engineering, or biomedical sciences, and your role will be tuned
-
of these based on AMD computer processor and graphics processing unit (GPU) technology. These implementations will develop machine learning models to determine performance and complexity when compared
-
’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8090F. Research Area: Mechanical and Systems Engineering. Select ‘PhD Mechanical
-
, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK
-
, Physics, Mathematics, or a related subject. A relevant master’s degree and/or experience in one or more of the following will be an advantage: modelling of dynamic systems, programming (MATLAB, Python, C
-
who is interested in a PhD in Inorganic Chemistry with Dr. Richard Knighton at the University of Southampton, starting in October 2024. Upconversion (UC) and downconversion (DC) are of paramount
-
. Bench fees required: No How to apply Apply online via the above ‘Apply’ button. Under programme name, select ‘School of Sport, Exercise and Health Sciences’. Please quote the advertised reference number
-
This 4 year PhD is fully funded by EPSRC and MOD under the UK hypersonics programme. Tuition fees will be paid and you will receive a tax free stipend set at the UKRI rate (£19,237) plus a top up