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100%, Zurich, fixed-term Join our research team at ETH Zurich in a project designed to enhance the resilience of vulnerable communities worldwide against climate change. This PhD position is an
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and emissions of the Swiss building stock using Python programming language; conducting LCAs with the Brightway library, as well as MFAs while taking into account spatial and temporal characteristics
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Social and methodological competencies Good communicator, record of proficient manager and leader Record of strong teamwork in diverse teams Analytical thinking and fostering innovative approaches Very
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positive impact with your research are excellent at quantitative reasoning. You understand what data can and cannot tell, can communicate that to others, and know when to apply which method. You have a
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postal services will not be considered. Please note that direct communication via email (or phone) may not be preferable in some cases (may not always be feasible). Thank you for your understanding
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communication skills and capacity to work with a diverse group of people Strong background in working with large numbers of protein structures is required Experience in using and developing deep learning methods