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Field
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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or to combine multiple smaller-scale systems into a farm? The cost model will be augmented with a life cycle analysis to incorporate the environmental impact of the used materials into the analysis. All relevant
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV
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systems into a farm? The cost model will be augmented with a life cycle analysis to incorporate the environmental impact of the used materials into the analysis. All relevant interaction mechanisms between
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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management. Perform “coupled” characterization with hot air to assess the overall performance of the MDAL. Task 4: Integration into Two Energy Processes Experimental validation, numerical simulation, and
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab
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the Biozentrum. Our group spans expertise in molecular microbiology, biophysics, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various
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the Biozentrum. Our group spans expertise in molecular microbiology, biophysics, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various