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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of
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in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing behavioral tasks, and use optogenetics to manipulate neural activity. Do you enjoy working in
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combination of in vivo voltage imaging, behavior, opto- and chemogenetic manipulation, and ex vivo patch-clamp electrophysiology. The candidate will train mice in various decision-making tasks and record
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novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical
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Technology, Mathematics and Statistics, and Computer Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion
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spatial memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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techniques, as well as cell culturing techniques Molecular biology techniques and digital image analysis Analysis of high-throughput datasets (RNA seq, proteomic data) Publications in international peer