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Materials explores materials for lithium-ion batteries by going beyond conventional graphite anodes and present-day cathode materials. To leverage on our scientific profile exploring digital methods
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development and evaluation for atomic layer processing Project Background: Design and developing novel precursors for atomic layer processing (ALD, ASD, MOCVD) Implementing, and analysing experiments on both
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The Leibniz-Institut für Wissensmedien (IWM) conducts research into the acquisition and sharing of knowledge and cooperation with digital media. The institute is a member of the Leibniz Association
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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into two main thematic strands: »Marginalised Knowledge« and »Digital Participation«. On the one hand, the department’s work focuses on actors from marginalised groups historically and today. Among other
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pathways for the required paradigm shift to sustainability. This position focuses on the initial work package in the project, to conduct statistical topic modelling on policy documents, ideally across
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digital tools for biodiversity assessment, thereby contributing to long-term agricultural sustainability and resilience across diverse pedo-climatic zones. To support the activities of the project and
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repairing damaged extracellular matrix and initiating cartilage healing. We combine our expertise in light-driven chemistry, protein chemistry, tissue engineering, and process engineering to develop a
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or