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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. The Chair for Efficient Algorithms offers a collaborative environment that combines strong theoretical foundations with a deep engagement in applied and interdisciplinary projects. PhD students are encouraged
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signals from cells flowing in microfluidic chips (Göllner, ACS Applied Materials & Interfaces, 2025). Such a chip format combined with cheap and small laser diodes for excitation of the photoacoustic
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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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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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shapes societies and economies. Theoretically, it draws on and combines a variety of approaches, ranging from comparative, international, and European political economy to comparative politics and public
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of urban soundscapes relate to the structural complexity of urban green spaces, sound-based biodiversity in urban green spaces and human health. We combine urban ecology, environmental psychology, acoustics
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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining
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transported nutrients. Combining micro-fluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose morphology self-organizes in response to vasoactive sub-stances. Your work
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sensitivities, i) hyperpolarization methods must be applied, and the NV-NMR detection must be improved. In the project, these technological developments will be combined with applications in single-cell biology