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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
employment location is Hamburg, Germany. GERICS develops science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It
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combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
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- and triple recombinase systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple
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organoid transplantations, CRISPR/Cas9, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches, single cell sequencing and imaging, histocytometry) Use advanced
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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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the visible into the hyperspectral domain. What you will do Initially, you will dive deeper into the field of hyperspectral imaging and get to know an existing hyperspectral camera and its output data structure
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Creativity and openness towards new ideas, as well as enthusiasm for advanced analytical methods (e.g., multi-/hyperspectral imaging) Preferably, knowledge of instrumental analysis (e.g., HPLC, GC-MS) and data
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of LLMs for trainings Develop and evaluate a prototype that uses LLMs to create dynamic software security micro trainings What you bring to the table You are studying Computer Science or a comparable course
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At the Fraunhofer Institute of Optronics, Systemtechnology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor
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movement by high-resolution fluorescence microscopy and/or magnetic/optical tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE