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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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circularity in complex aerospace systems. Via Model Based Systems Engineering (MBSE) we think that it would be possible to successfully predict the effects of proposed design changes on circularity and
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience
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or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience of teaching in undergraduate and graduate education can be an
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or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience of teaching in undergraduate and graduate education can be an
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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nanocellulose and graphene suspensions, polymer nanocomposites, hydrogels, adhesives, and various biomaterials (e.g. biofilms, tissues). Dynamics of complex fluids – Our work examines thixotropic yield stress
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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of Gram-negative bacteria. The studied targets represent both soluble proteins and membrane bound complexes. These proteins are vital for the survival of the bacteria and interesting targets for novel