15 phd-in-computational-neuroscience Fellowship research jobs at University of Adelaide
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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
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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
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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
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technologies, with a specific focus on electrode/electrolyte interface studies for secondary batteries. The successful candidate will have recently completed, or be nearing completion of, a PhD in a relevant
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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
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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model