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cancer research Apply for this job See advertisement Job description A two-year researcher position is available in the group of Dr. Biswajyoti Sahu at the Centre for Molecular Biosciences and Medicine
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. The department is a dynamic, internationally oriented environment that brings together researchers from medicine, the social sciences, and the humanities. Its research spans global health, medical anthropology
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Humanities, one of three sections in the Department of Community Medicine and Global Health. The department is a dynamic, internationally oriented environment that brings together researchers from medicine
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the cellular components of the platform and to interact with the various technology partners to test platform functionalities such as optical and electrical measurements of cell function, miniaturized molecular
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medicine and molecular biology to establish a bridge between bench and bedside. This is of utmost importance to exploit in clinical medicine the recent development in immunology, biochemistry and molecular
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philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real-world management. At the same time, it addresses how models are used in
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the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real