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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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The PhD Researcher will be an integral part of the research team working on the project "Intelligent Circular Construction" aimed at advancing circular construction practices through digital
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4.0. For a new industry related research project, we are looking for a new PhD. Job description A considerable portion of the noise produced by trains stems from rolling noise, primarily influenced by
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) at ETH Zurich. We are looking for a Postdoctoral (equivalent to a non-tenured Assistant Professor) or PhD Researcher in Applied Macroeconomics and/or Political Economy. Project background The Chair's
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
. Applicants should hold a PhD (or should be close to the completion of their PhD thesis) in disciplines that are related to the advertised position. The writing of scientific papers and participation in
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include international collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner. Dr Diego Paez-Granados in
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Pomeranz from the University of Zurich, as well as the postdocs, PhD students and other student research assistants involved in the project. You will be responsible for coding the content of Swiss collective
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desirable. Candidates who have obtained their PhD within the past two years are preferred. Candidates are expected to have an excellent academic record and be fluent in written and spoken English. Your
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Qualifications: PhD in Chemistry, Material Science, or a related field Expertise in analyzing electrochemical interfaces using in-situ spectroscopy or synchrotron facilities (a plus) Programming language
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year. Your profile It is expected that you will have a PhD in a relevant field with a strong background in physics Experience in solar space data and magnetic field data analysis techniques is desirable