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will focus on designing and optimizing integrated reactor concepts that combine sequential catalytic reactions with in-situ separation. Using a multi-scale approach, you will couple catalyst development
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of increasing responsibility and field-team management. Multi-Agency Event Coordination: 2+ years of experience managing the logistical complexities of large-scale campus or municipal events
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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science component and will employ significant multi-omic datasets available from our current IBD projects and requires the postholder to work closely in a multidisciplinary team of immunologists, clinical
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the design of AI for mobile network operation [1-12], which represents an ideal foundation for the student to make meaningful contributions to the field. Where to apply Website https://networks.imdea.org/job
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. Selected innovators get the backing of MIT and our community of supporters to scale their impact and drive lasting change. The full job description is here: https://solve.mit.edu/careers
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troubleshooting and protocol refinement. Support large-scale projects aimed at profiling DNA/RNA modification patterns across biological samples. Coordinate preparation of buffers, reagents, and experimental
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. Project Description This project will include experimental work on industrial pilot-scale plants at the Energy Innovation Centre – including the multi-fuel gas turbine and the hydrogen electrolyser. A
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, the focus will be on the scale of a vapour bubble imploding near a solid wall. Test campaigns to analyse the implosion of a laser-generated bubble in a pressurisable tank will be carried out in
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, there is little if any application of the DT concept to electrical equipment. This is mainly due to the difficulties of multi-time scale modelling in the electrical domain where dynamics can range from