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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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Details Title Postdoctoral Fellowships in Cardiac Cell and Tissue Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Disease Biophysics Group
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity We are seeking two Postdoctoral Research Fellows to join a multidisciplinary team at AIBN, focusing on metabolic engineering
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Details Title Research Associate and Postdoctoral Fellowships in Cardiac Cell and Tissue Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Disease
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The Azrieli International Postdoctoral Fellowship supports the best and brightest minds in their postdoctoral research, connecting them with world-class academics and leading researchers. The Fellowship provides generous funding for eligible international applicants to conduct research in any...
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Details Title Research Fellow in Biomechanical Evaluation of Wearable Technology - Walsh Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering
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optimization for monoclonal antibody discovery. Conduct mouse monoclonal antibody generation using hybridoma technology. Carry out antibody characterization (binding affinity, specificity, epitope mapping
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable