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Field
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inverse problems for reconstructing 3D structure, heterogeneity, and dynamics from noisy and incomplete experimental data, such as correlation spectroscopy, single-particle imaging, solution scattering, and
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for developing novel national and international AI solutions for clinical practice based on multimodal data, including fusion of the rich Danish and international register data with data from journal notes, image
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and cell cultures. These studies aim to understand how these brain changes occur, how environmental signals are integrated to trigger these changes, and how dysregulation of this process contributes
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include field work to set out traps and collect study organisms in different farms across NYS. The technician will also assist the PI, Katja Poveda, postdocs and graduate students performing lab research
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aim to understand how these brain changes occur, how environmental signals are integrated to trigger these changes, and how dysregulation of this process contributes to diseases, such as Parkinson’s
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the products and services of partner organizations; and (c) general purpose research on methods, processes, and practices that support the development and scaling of technologies such as digital education
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research by assisting with image acquisition, processing, and analysis, enabling efficient data generation for postdocs and students. Additionally, the technician will help with general lab operations
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with image acquisition, processing, and analysis, enabling efficient data generation for postdocs and students. Additionally, the technician will help with general lab operations, including maintaining
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processing of samples for downstream applications (e.g., purification, assays, imaging). • Maintain accurate lab records and contribute to experiment tracking. • Coordinate with senior researchers and
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The position is co-funded by the National Imaging Facility (NIF), the Australian Research Council (ARC) Centre of Excellence in Plants for Space (P4S) and the University of Melbourne. We are seeking a Fellow