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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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initiatives in applications of genomics and proteomics Integrate sequencing data from external and public resources to improve clinical research outcome Supervise postdocs, graduate students and technical
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functional neuroanatomy with a focus on increasing the spatial precision of treatment methods such as deep brain stimulation (DBS) and discovering the underlying neurobiological mechanisms in neurodegenerative
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students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics
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production of built environments. It has a stimulating, international environment with PhD students, postdocs and teachers from around the world. Here, research and education take place in an open and
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of the stock structure of many fish populations in the Baltic Sea is limited. For numerous species, we lack detailed knowledge about changes and spatial variation in migration patterns, reproduction, size and
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initiatives in applications of genomics and proteomics Integrate sequencing data from external and public resources to improve clinical research outcome Supervise postdocs, graduate students and technical
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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temporal dynamics over weeks and seasons, their interactions such as predator-prey relations and their spatial extent over time. As part of this Swedish Research Council funded interdisciplinary research