162 experiment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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development combined with systems-level experience in software architecture, requirements engineering, interface definition, integration, and functional verification. You are comfortable working across mission
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Candidates should have a PhD in Electrical Engineering, or a closely related field. A strong practical embedded hardware background is essential, including experience in several of the following
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. Our current projects involve large-scale web and text analysis, as well as computer vision and visual data analysis. Applicants may have experience in one or both areas described below. You do not need
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degree in social sciences or humanities (e.g. peace and conflict studies, political science, sociology, anthropology, environment) A minimum of three years’ work experience related to mediation/mediation
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support research projects involving VR experiments in embodied learning. Your main responsibility will be to conduct experiments according to established protocols, including setting up VR, interviewing
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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Relevant MA degree in Social Sciences or Humanities (e.g. peace and conflict studies, political science, sociology, anthropology, environment) A minimum of three years’ work experience related to mediation
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recruitment processes continue to run smoothly and that candidates receive a consistent, high-quality experience. Job description Your responsibilities include: Engaging directly with prospective candidates
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without losing data. Front-end Development: Build visualization dashboards (Grafana) and remote experimentation APIs to give researchers live insight into grid behavior and improve user experiences on our
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design follow-up wet lab experiments with colleagues. Integrate scRNAseq datasets with other omics information, including spatial transcriptomics, ATAC sequencing, metabolomics and/or multiplex imaging