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-world applications. Your main tasks will include to: Developing (and derivatizing) polylysine-coated microfluidic channel capable of signal processing. Demonstrating programmable release of sacrificial
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to the University of Cape Town (UCT as well as the University of Oslo). Separate registration processes for these universities will apply. More about the positions The appointed candidates will work within the
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: to perform cardiac and vascular echocardiography (aorta), histopathological study of the aorta and the heart, biochemical study of intracellular signalling, differential genetic expression of oxidative stress
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of the processes operating during the early stages of life’s emergence, shedding light on the distinctions between biosignatures and organosignatures, as well as between bio- and organoproxies, and how these signals
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University of Potsdam. Teaching language English German Languages English is the main language of instruction in the PhD and postdoctoral programme. Programme duration 8 semesters Beginning Winter and summer
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2025-09637 Work Location(s) Number of offers available1Company/InstituteInriaCountryFranceCityParisGeofield Contact City LE
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(a.d.m.van.de.haar@hum.leidenuniv.nl ). Questions about the procedure can be directed to Nina Schat (im-lucas@hum.leidenuniv.nl ). Information about LUCAS can be found at Where to apply Website https
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20 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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signalling and disease progression. The goal of the Oncode Accelerator Growth Fund project is to accelerate the development of new cancer therapies. In this PhD project, you will employ existing proteomic
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, Mathematics, Physics, Neuroscience, Psychology, Medicine, or a closely related field. Previous experience with MRI and/or high-density fNIRS/DOT techniques. Strong understanding of signal processing and data