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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
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specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized
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group at the Department of Geography, we contribute within the STREAMS (Safe Traffic and Road Evaluation, Analysis and Monitoring System) project to a so-called better Traffic understanding. Our main goal
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text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal articles, a research monograph and an
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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to investigate the history of Luxembourg's tax regime, its beneficial elements through time as well as the socio-economic context within which this regime/the different regimes through time developed. The project
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analysis tools Investigating channel impairments, propagation effects, and mitigation techniques Designing and evaluating transmission schemes, signal processing algorithms, and communication architectures
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analysis across experimental models and patient-derived specimens Extension of these observations to clinical samples from patients with systemic amyloidosis, including ATTR and AL amyloidosis
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the field of narratology, with particular focus on time loop stories. You have demonstrable expertise in the analysis of audiovisual narratives, particularly TV series and film. You have worked on cultural