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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio
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, and therapeutic response and resistance and to translate these findings to improve patient outcomes. The overall goal of this research program—spanning basic mechanistic discoveries, application of high
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infrastructures to enhance energy management, transportation networks, and urban sustainability. Key Responsibilities Design and implement digital twins to monitor and optimize urban systems, including
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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experiments using murine models to study immune regulation and retinal degeneration • Conduct transcriptomic and pathway analyses (e.g., snRNAs-seq, RNA-seq) to uncover regulatory networks • Use molecular and
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental