Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Engineering
- Materials Science
- Science
- Mathematics
- Linguistics
- Chemistry
- Psychology
- Humanities
- Earth Sciences
- Arts and Literature
- Electrical Engineering
- Business
- Environment
- Philosophy
- Sports and Recreation
- Education
- Law
- Design
- Social Sciences
- 13 more »
- « less
-
PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
-
for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
-
complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
-
Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email address Dr. Ping Lu: p.lu@leeds.ac.uk
-
patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
-
Are you passionate about cognitive computational neuroscience and eager to contribute to cutting-edge research in perception? We invite applications for a fully funded PhD studentship supported by
-
or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
-
or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
-
multiple objectives in real-time. The complexity of coordinating these distributed systems while ensuring stability and optimal performance presents a significant technical barrier that must be overcome
-
reporting of AI impacts and shedding light on multiple facets of the issue. If needed, you will be trained to obtain the required level of expertise in AI, green computing and environmental sustainability