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these inputs for device-scale structures, with methods such as DFT, currently poses a bottleneck in the application's capabilities. Project background The Computational Nanoelectronics Group was recently awarded
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a postdoc to join its research team studying the political economy of low-carbon technologies (LCTs) and climate policy. The PET group adopts an interdisciplinary, mixed-method approach grounded in
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cutting-edge technologies to dissect these interactions: high-density microelectrode arrays (HD-MEAs) for large-scale electrophysiology, spatial transcriptomic methods, and human iPSC-derived neuronal
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also be opportunities to design novel bioelectronic implants and develop specialized control software Profile We are seeking highly motivated applicants with a background in physics, material science, or
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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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and methods of the doctorate: Increasing climate extremes create substantial risks for economies worldwide, including indirect impacts related to finance and supply chains Policymakers need
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willing to exchange with your fellow team members, support them, and learn from them. Non-traditional research topics, questions and methods are encouraged We also encourage projects on non-European
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involve teamwork, including coordination with PhD students and other postdoctoral researchers. It is important to demonstrate the spirit of collaboration without compromising research independence. Your
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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Zurich, PSI, and international partners More information about the project and the group can be found on our website . Starting date: flexible in 2026 Employment: full-time Profile PhD in physics or a