Sort by
Refine Your Search
-
Employer
- ;
- ; The University of Manchester
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Plymouth
- Cranfield University
- ; Cranfield University
- ; University of Birmingham
- ; University of Bristol
- ; University of Southampton
- University of Sheffield
- ; Lancaster University
- ; Swansea University
- ; The University of Edinburgh
- ; University of Bradford
- ; University of Leeds
- ; University of Sheffield
- ; University of Surrey
- 9 more »
- « less
-
Field
-
degree in Computer Science or a related discipline. Experience in stochastic and ODE modelling is required. Knowledge of MATLAB/Python is desirable. Understanding of psoriasis pathology is desirable
-
and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
-
, 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
-
’. 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
-
), Colworth Science Park, Bedfordshire, UK for training, mentoring and meetings within a multi-disciplinary team, including biology, toxicology, computer science among others. If you wish to discuss this
-
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
-
, 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
-
, leading to novel engineering applications in sustainable architecture and green energy. We are seeking a motivated PhD candidate with a background in mechanical engineering, mechatronics engineering, civil
-
OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
-
-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science