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Field
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robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives and power systems
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
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to): Transparency and contestability in AI Accountability in algorithmic infrastructures Technical mechanisms for evaluating and auditing AI systems Governance of open-source and general-purpose AI models Data rights
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calculation of mixture toxicity Development and application of chemical analytical methods Application of physiology-based kinetic (PBK) modelling for the extrapolation of in vitro to in vivo concentrations
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models
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an emphasis on in vivo assays, animal models and state-of-the-art imaging tools Soft skills seminars on communication, presentation and other topics equally relevant for achieving success in both a scientific
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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of the anaphase-promoting complex (APC/C) and the degradation of cyclin B1. If cyclin B1 levels fall below a critical threshold, cells undergo mitotic slippage, entering G1 without proper chromosome segregation
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and histopathological characterization of tumor cells in tissues using chemical and fluorescence staining Handling in vivo and in vitro models to test research hypothesis and refine study designs