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proteomics approaches. The position focuses on practical, microscopy-based work in human and animal tissues, supporting various projects aimed at understanding biological processes in health and disease
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future. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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Giacomello. Examples of tasks: Design, perform, and optimize experimental workflows for ST, SmT and single-cell multiomics Prepare and process animal and plant tissue samples for spatial and sequencing-based
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well as developing methods to study and characterize these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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managing user-requested proteomics and other MS-based research projects, including hands-on laboratory work. Operation of the MS instruments, Orbitraps (Thermo Scientific) and tims-TOFs (Bruker) interfaced