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and graduate levels. Teaching will primarily take place within the Life Sciences Engineering curriculum, and the ability to teach STEM subjects will be a positive factor in the evaluation process. EPFL
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agency of urban residents in contesting perceived inevitabilies. The project builds on theoretical work on urban futures, understanding cities as sites for planning, imagining and representing futures. It
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is considered a plus. Team player, ambitious, and motivated to learn and make a difference through proteomics and protein analysis. Workplace Workplace We offer ETH Zurich is a family-friendly employer
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of these dust particles and make predictions for fluxes for future and past missions, and compare these to available data in order to constrain particle and heliosphere characteristics. This way, we contribute
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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, entrepreneurial environment. If you're excited by the idea of helping shape the future of sustainable materials from the ground up, this is your opportunity to make a real impact.
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of biological data structures and formats Experience working with microbiome (marker gene, metagenome) or other omics data Experience with conda and conda-build ecosysem Experience with software containerization
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to make a difference. If you're someone who thrives on innovation and wants to be part of something new and exciting, we'd love to hear from you! We're on the lookout for talented individuals to join us in
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exploitation for network design. The SCF staff works closely with the Lab Automation Facility (LAF) team, which develops and maintains complex robotic setups integrated with readout technologies such as high
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that integrate machine learning with energy system optimization to make such policy optimization possible. The analysis will include policies for EV adoption, EV charging infrastructure, and electricity pricing