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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models
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the design and optimization of various types of turbomachinery. The design and optimization process involve developing models for the components of both axial and radial turbomachines. A strong background in
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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic
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, miRNA, and proteome level from multiple lung compartments to construct a model of disease. The work will be conducted on one of several unique clinical cohorts designed to investigate different aspects
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Are you passionate about pushing the boundaries of medical research? Join us at Chalmers University of Technology to explore how advanced models can transform the way we study treatments. We
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Risk-aware navigation strategies that integrate visual-language models for autonomous
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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mammalian cells). You will also implement techniques for recapitulating beta adrenerg stimulation in experimental models and for monitoring trafficking of ion channels. You will study both healthy wild type
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disease, in particular cancer. You address this question using both different in vitro models, with the focus on embryonic stem cells and intestinal (cancer) organoids, and with tissue biopsies from