Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
La Trobe University is offering a graduate research scholarship for students to undertake a joint PhD with IIT Kanpur, India. The IIT Kanpur-La Trobe University Research Academy is a globally
-
of their difficulties. Discovery strategies typically involve writing or talking about their problems in a safe context. Aims This PhD aims to codesign a research study to establish initial evidence for the efficacy
-
-field imaging. In the X-ray imaging group at Monash, we develop these novel methods, working across theoretical foundations, experimental realisation, and practical applications. My research focuses on X
-
are supported by quantum mechanical theoretical formalisms. Our fundamental findings yield promise for future applications in electronics, optoelectronics, spintronics, information processing and storage, sensing
-
My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography
-
or interest in working in a healthcare setting. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts and brief rationale why you want to join this
-
I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research
-
between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
-
The Adelaide Graduate Research School (AGRS) and Hubble are partnering to create 2 remote internship opportunities for University of Adelaide PhD students, to contribute to various projects. Hubble
-
contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex