18 phd-in-mathematical-modelling-of-biochemical-reactions Fellowship positions at University of Adelaide in Australia
Sort by
Refine Your Search
-
(Level B) $114,917 to $135,932 per annum plus an employer contribution of 17% superannuation applies. Fixed term fulltime position for 12 months JBI is looking for a Level B Research Fellow to join their passionate team. JBI is a global organisation promoting and supporting evidence-based...
-
you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices. Demonstrated knowledge and experience in Advanced Physical Models such as the ones typical used in Many Body
-
This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
-
to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
-
Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
-
have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
-
the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
-
to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
-
PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
-
or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working