Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval
-
AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics, machine learning, and photonics. Be part of a multidisciplinary research team spanning
-
that there will be collaboration with different stakeholders in industry and regulators during the project, and the candidate can expect a stay abroad during the PhD project. The PhD student will be a part of the
-
application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
-
on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
-
Apply now Job no:584181 Work type:Casual Location:Melbourne - Burwood Categories:Arts Dr Mia Martin Hobbs seeks a PhD candidate for her DECRA project ‘Race, Gender, and Violence in Western
-
, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
-
ELLIIT collaboration, in which BTH leads computational and applied AI development. Research focus The PhD project will focus on the development of scalable and efficient machine learning approaches
-
to be able to fund the difference between home and overseas fees with a proportion being paid in full before Visa documentation can be issued. Applicants PhD applicants must hold a minimum of an upper
-
The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize