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advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug resistance phenotypes. Performs MIC testing, kill curves and other microbiological tests to characterize M. tuberculosis
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infection and treatment studies of both viral and bacterial pathogens. Uses conventional and novel methods including advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug
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advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug resistance phenotypes. Performs MIC testing, kill curves and other microbiological tests to characterize M. tuberculosis
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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upscaling tests. A robotic platform developed within the consortium will support rapid optimisation of curing conditions. Waterborne coatings pose additional challenges due to the necessity to work with
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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waterborne (Leiden University, this vacature) coatings will be studied in this project, including upscaling tests. A robotic platform developed within the consortium will support rapid optimisation of curing
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy