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Field
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provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise. Research Project: You will gain training and experience in the analysis
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provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise. Research Project: You will gain training and experience in the analysis
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on the preferences, the candidates can also be based in Jülich: Project 4: Experimental and numerical investigation of the heat flow generated by magnetic nanoparticles inside a solvent for medical
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, and workforce development, in addition to advanced instrumentation, including recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to test new
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data visualization tools. Gain experience with metrics and statistical analysis. Learn to employ industry standard techniques to implement IT systems. Gain experience using security compliance
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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financed by EU and associated with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE
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, and construction progress analysis. Key Responsibilities: Conduct research in computer vision, machine learning, large language models, AI agents, and 3D reconstruction for infrastructure digitalization
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design
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for biocementation Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication of results in peer