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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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detail: Development of APIs for electrolysis systems and analysis devices Implementation of autonomous process control Conceptualization and implementation of degradation models for electrolysis Studying
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect of stochastic fluctuations in electrokinetic flows. This is of interest in so-called lab-on-chip devices
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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
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will be tested and verified with applications from geodynamics. For more information consider the job description here . Tasks Tasks in the project include the efficient implementation of new models
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in