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expects to develop an analytical description of electrolyte flows required in various microfluidic applications such as magnetohydrodynamic (MHD) micro-stirring and micro-pumping. About Swinburne University
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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(genome sequencing), bioinformatics and single-cell (microscopy, microfluidics, FACS) analyses of E. coli bacteria and will be centred around the following themes: Pathways involved in robustness against de
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano/microfabrication, physics (optical) or a field related to the desired skills listed below, with a high level of academic
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partner in an exciting 5-year collaborative program. We are currently seeking applicants for three PhD projects as listed below. The successful candidates will be based in either NIBRT or UCD and will also
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microscopy, scattering, bio-sensing and microfluidics techniques and work on a range of protein systems — including alpha synuclein and TDP-43. At DTU-Bioengineering you will break new ground at the absolute
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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microfluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose architecture self-organizes in response to vasoactive substances. Your work will lead the way to applications
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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within the vents? You will grow two-dimensional hydrothermal vents on a microfluidic chip and quantify the vent geometry from your data. You will assess how geochemical mineral composition and inflow rate