13 web-programmer-developer-"U"-"Washington-University-in-St" Fellowship positions at University of New South Wales in Australia
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of work. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal skills. Demonstrated ability to communicate
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contributes to the education of the next generation of doctors through the UNSW Doctor of Medicine program, conducts primary and integrated care research, contributes to postgraduate teaching, supervises ILP
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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, Step 6 ($113,911 + 17% Superannuation). Location: Kensington, NSW Why The Role Matters: The Post-Doctoral Fellow is expected to contribute towards the research effort of UNSW and to develop
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) Density functional theory (desirable) Spectroelectrochemistry and vibrational spectroscopy (desirable) Proven commitment to proactively keeping up to date with discipline knowledge and developments
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that are taught in five teaching laboratories specialising in First Year, Synthetic, Analytical and Physical Chemistry. This role contributes to the development of novel catalysts and electrolytes
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provide you with the opportunity to develop your scholarly research and professional activities both nationally and internationally. You will contribute to writing scientific papers and reports
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who holds the following: A PhD in a biomedical, health, or related discipline, supported by extensive professional experience across academic research, scientific writing, grant development, and
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience