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national and international conferences; Active participation in activities of the department; Teaching (max. 10% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/362638/phd
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structural glycoproteomics. For development and translational research we make use of patient samples and models with defined genetic and/or biochemical defects that require structural glycoproteomics
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Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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management. Within WENR we develop and apply geographically explicit instruments, including models and monitoring approaches, to determine the effects of management and land-use change across forests, cropland
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close collaboration with a project
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coupled-cluster (EOM-CC) theory with periodic DFT (pbcEOM-CC). To quantify spin-phonon couplings of spins on surfaces—the bottleneck to modeling spin relaxation—we will develop a new approach using pbcEOM
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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Are you an engineering scientist who wishes to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking