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100%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution at the ETH Zurich is looking for candidates to fill a post-doctoral position as part of the fully funded SNFS
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construction, design for change, or life cycle analysis. Significantly Beneficial Attributes: Detail-oriented and meticulous in your work. Able to adopt new programming languages for particular purposes. Able
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and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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and policy choices Effects of intergovernmental fiscal transfers Fiscal decentralization and residential sorting The work might be based on theoretical modelling and/or empirical analysis. Profile
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analysis, and/or qualitative/quantitative methods. A demonstrated interest in topics pursued by the Chair team, such as knowledge creation, knowledge management, innovation processes, digital technology and
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, serving as a basis for statistical evaluations of stone formats, brick bonds, and the like. Where applicable, you also perform geometrical analysis of vault geometries and traces of formwork. You interact
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economics such as corporate taxation, fiscal federalism and public economy aspects of the digital economy, for instance. Job description The successful applicant is expected to work on issues related
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immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle challenging diseases. The successful
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral