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, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
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the University Medical Center (UMG) Göttingen, we will investigate forces generated by neuronal model cells during synaptic activity. The tasks include biophysical experiments with cells using optical
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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production, antibody binding assays, germ-free and gnotobiotic mouse models and human samples, bacterial transcriptomics, and single cell host transcriptomic analysis to obtain a detailed mechanistic
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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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. Your responsibilities Work with genetically modified mouse models Culture cell lines, iPSCs, and renal organoids Analyze transcriptome and proteome data Apply high-resolution microscopy techniques Your
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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models. Expected Results: Ability to assess the influence of demise process on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion