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size Develop and implement a robust numerical metric, derived from camera images, to objectively quantify laser beam quality with respect to use in photocathodes and characterize deviations from the
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; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed
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psychological and neuroscientific research questions sound knowledge of statistics, experimental psychology, and clinical diagnostics; previous experience in neuroscientific methods is an advantage very good
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shape how machine learning is developed for electron microscopy – someone who can identify the open questions in the domain and carry them through to new methods. You will work in a team of data
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project:
Many existing multi-omics methods focus on dimension reduction or joint latent representations to integrate heterogeneous molecular data, but are often less explicit about biological -
-the-art large language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world
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model simulations, observational and reanalysis datasets Design physics informed bias-adjustment methods targeted at the tails of hazard distributions to preserve impact-relevant relationships between
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advanced statistical methods to uncover non-linear interactions between physical drivers of extremes Evaluate how well climate models represent these tail processes against observations and reanalysis
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are skilled in cell culture and fundamental molecular biology techniques, such as design of plasmids/proteins to fulfill desired purposes, methods for detecting proteins of interest (by e.g., flow
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are skilled in cell culture and fundamental molecular biology techniques, such as design of plasmids/proteins to fulfill desired purposes, methods for detecting proteins of interest (by e.g., flow