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field experiments in collaboration with policy makers in Switzerland. You will be involved and can develop your skills in: Collection of large scale administrative and survey data Managing, cleaning, and
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candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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phenomenological and quantitative first-principles theory of static and dynamic chirality in crystalline materials. The specific sub-project advertised here seeks to understand the unexpectedly large measured
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with foundation models and large language models (LLMs) Experience working with clinical datasets, including electronic health records (EHR), time series, or omics data, is highly desirable Proficiency
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with experiments, modelling, and theory.The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative postdoctoral researcher who specializes in computer vision
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learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
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to uropathogens. Nanotechnology offers solutions to design sensing materials with large specific surface areas and tailored surface chemistry to distinctly interact with the targeted molecules. This PostDoc