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tools and insights for the optimal design of policies that affect electric vehicle (EV) charging and the electricity system. The PhD student will contribute to the development of exciting new methods
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candidate, your research will focus on developing and applying advanced computational methods for Bayesian inference and model calibration. Your main tasks will include: Investigating and developing novel
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) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes. Performing numerical reconstruction of holograms
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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-state materials. The newly appointed Assistant Professor should hold a Ph.D. degree or equivalent qualification and is expected to establish an internationally recognized research program in the field
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100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to
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soil COS, CO2, and H2O fluxes. Quantification of the leaf-scale uptake ratio of COS to CO2. Leaf-scale stomatal conductance measurements. Assessment of different methods to constrain GPP. Statistical
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Unit that supports the latest next generation (NGS) and single molecule sequencing methods and strategies, and provides services and training to the research groups accessing the center. The position
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or equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or