22 structural-engineering-"https:"-"https:"-"https:"-"UCL" PhD positions at Monash University
Sort by
Refine Your Search
-
PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
-
with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
-
guardrails or clear precedent, humanity now contends with a technology that has potential to reshape valued parts of our social life, individually and collectively. In assessing the impacts of generative
-
exciting, rewarding directions The Opportunity: We are seeking expressions of interest talented candidates who wish to apply for a PhD to undertake research in digital health technology and implementation
-
For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
-
surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
-
these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
-
with the industry partner A structured professional development and training program to develop your applied research skills The project is entitled “Project 2: Techniques and Frameworks for Enabling
-
in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
-
they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with