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fellowships (10+ positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth and astrosciences, life sciences
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conferences. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Person Specification PhD (or near to completion or equivalent experience) in a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 7 hours ago
within a dynamic and collegial academic setting. Ideal Candidate Academic Level A – Postdoctoral Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with
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an emphasis on technology, data science and the humanities. This opening is to employ a Research Fellow under Asst Prof Marie Loh Chiew Shia who is competent in the field of molecular epidemiology to contribute
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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discipline (Minimum standard 2.1) Have, or about to obtain*, a PhD in drug delivery/pharmaceutics/ engineering (*must be obtained within 3 months of commencement of employment) Substantial relevant research
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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management system (EMS) Developing a procedure for local manufacture of electrolyte Analysis and publication of data from the installed battery The successful candidate will work in collaboration with SOLead
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set-up, and data collection and analysis. Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). Have experience