Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
or above. have outstanding grounding in one or more relevant disciplines including cancer biology, cancer medicine, physics, chemistry, , engineering, machine learning / data science, coding. How to apply
-
master’s degree or diploma in physics, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent
-
(Level A) $81,293 to $109,307 per annum plus an employer contribution of 17% superannuation applies. Full time, fixed term position for 12 months Together with the University of Adelaide’s, Adelaide
-
Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
-
co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics. Experience with experimental (fluid
-
physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
-
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
-
(Level A) $81,293 to $109,307 per annum plus an employer contribution of 17% superannuation applies. Full time, fixed term position for 12 months Together with the University of Adelaide’s, Adelaide
-
expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
-
(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth