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thickness. We will employ temperature, light, (tunnel) electrons, and soft x-rays to trigger the spin-state switching of the complexes. Using a combination of x-ray absorption spectroscopy (XAS) and in
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of ultra-long graphene nanoribbons (GNRs) encapsulated in hexagonal boron nitride (h-BN). The charge transport properties of these devices will be investigated using a combination of conductance and
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formation under conditions as natural as possible along the gradient. We will measure 13CO2 fluxes in the field and combine these data with the incorporation of the 13C tracer into different SOM fractions
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environments – all impacting disease transmission. Cost-Effective Solutions: You’ll evaluate potential interventions – combining resource-use and intervention-costs, considering cost-effectiveness, user
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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space. We quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem ser-vices. To do this we use a combination of diverse methods, from empirical research
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof