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Field
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well as working with organ-on-chips and imaging of these devices will be considered as a benefit; Excellent analytical skills and an innate ability for solution oriented problem solving; Team player with great
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elaborate the prototype of the audit tool. Your duties and responsibilities include: The co-development and testing of the audit tool Social and economic analysis of the implementation of the Audit tool Your
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assess their usefulness. Co-create a regional risk picture by facilitating workshops to prioritise event–disruption–risk combinations with compounding impacts on care (e.g., precipitation extremes
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of images (like in comics) in relation to the structure of languages. Additional information about this research project can be found at www.visuallanguagelab.com/pictree . Your position The PICTREE Project
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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ
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-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell & spatial
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. [4] Sivakumar et al., Phys. Rev. B 111, 075409 (2025), Influence of surface relaxations on scanning probe microscopy images of the charge density wave material 2H-NbSe2. [5] B. Kiraly et al., Nano Lett
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
., RNA/protein cargo analysis, advanced imaging, analytical chemistry). Experience with in vitro microbial cultures ((an)-aerobic), co-culture systems, and gut-mimicking models is advantageous. A motivated
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage