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The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you satisfy
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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, Computer Science, Mathematics or a related field. Demonstrated experience developing software to support research outcomes. Strong written and verbal communication skills. A track record of scientific
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Apply now Job no:582290 Work type:Full-time Location:Geelong - City Categories:Research, Health Based in Geelong at the Health, Education and Research Building (HERB) A full-time, fixed term role (12 months) Level A $83,268 - $111,939 + 17% Superannuation Why work with us? At Deakin you will...
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Degree or Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences (51 ) Mathematics and
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experience of research in plant and soil science, using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming, but our main requirement
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, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions
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, cryptography, security, game theory, or a closely related area (ML acceptable with strong theory depth). You will have strong mathematical maturity with evidence of producing rigorous, security-relevant theory
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Details Title SEAS Postdoctoral Fellow in Bertoldi Group School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Materials Science and Mechanical Engineering Position Description The Bertoldi Group at Harvard SEAS is seeking a Post Doctoral Fellow in Mechanical...
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learning, climate science, physics, mathematics, statistics or related fields. Evidence of good understanding (or capacity to develop understanding) of statistics and ML. Evidence of a good understanding (or