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Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines The research group of International Political Economy and Energy Policy, led by Prof. Aya Kachi
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Your position Your focus will be archaeozoological and isotope analysis of Neolithic lakeshore settlements in Switzerland. This PhD position forms part of an SNSF Weave/Lead Agency Project entitled
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leading house of NCCR AntiResist. With 33 groups and 500 staff members from around the globe, the Biozentrum offers a dynamic and international research environment. The institute has produced numerous
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scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific communication
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invites applications of talented and ambitious candidates for a PhD student position in the field of single-molecule biophysics, with a focus on protein trapping and analysis using state-of-the-art nanopore
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understanding of protein systems. As a PhD student, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract
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trapping and analysis using state-of-the-art nanopore experiments. About the Project Our group has pioneered the development of the Nanopore Electro-Osmotic Trap (NEOtrap), a groundbreaking technique that
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and in a team Desirable: Experience with optics, cryogenics, or scanning probe techniques Knowledge of nanofabrication or cleanroom methods Programming skills for data acquisition and analysis A fully
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, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract kinetic information. Evaluate bioconjugation
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reasoning domains. This work will blend cutting-edge experimentation - spanning RL, few-shot learning, meta-learning, etc. - with formal analysis to push the boundaries of what modern AI systems can reliably