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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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) to analyze data from the multi-modal Biological-Classification-of-Mental-Disorders (BeCOME) study, with a particular focus on the influence of environmental factors. REFERENCE NUMBER: 192 | 8748 The main focus
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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. The way we process data produced by computational nodes is therefore constantly evolving. While historically, mainframes provided heavy lifting for dumb end user terminals, computing capabilities now
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considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers
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Tasks: Develop a workflow in high-performance computational studies and integration into a mixed fidelity experimental high-throughput platform Create a data management platform that connects institutes
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environment. For more information about the Program for Collaborative Doctoral Projects please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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• Experimental investigations using atomic force microscopy (AFM), including force-distance curve-based imaging, (single molecule) force spectroscopy, nanomechanics, and associated data analysis • Application