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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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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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, 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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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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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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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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, 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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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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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