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microfluidic technology that cultures cells and tissues inside microfluidic devices to mimic the structure and microenvironment of tissues in the body. These platforms can be used to study disease progression
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the subsurface. Join three teams of excellence! This thesis work will benefit from the combined expertise of several leading research structures (IFPEN, IPGG’s technological platform for microfluidics and Mines
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available for 3-years to work with Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie Curie
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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and imaging techniques. Familiarity with advanced bioengineering approaches, such as bioprinting or microfluidic systems for in vitro model development. Strong publication record and ability to work in
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imaging system. The work requires strong hands-on experimental skills, creativity in experimental design, and an interest in combining microfluidics, acoustics, and ultrasound imaging. Where to apply
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Sciences, to exercise the functions of developing a 3D bone model using micro-automation and microfluidic systems, within the METABONE project “Exploration of metastasis in the bone microenvironment – breast
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 11 days ago
experience in one or more of the following areas: o Electrochemical sensors and devices o Energy storage/conversion systems (batteries, fuel cells, supercapacitors) o Microfluidic and lab-on-a-chip
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 11 days ago
. • Proven experience in one or more of the following areas: o Electrochemical biosensors o Bioelectroanalysis and bioelectronics o Wearable and implantable sensors o Microfluidic-based electrochemical
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://doi.org/10.1111/ele.70027 [2] Hsu, R.H. et al. Microbial Interaction Network Inference in Microfluidic Droplets. Cell Systems 9(3), 229-242 (2019). https://doi.org/10.1016/j.cels.2019.06.008 " View