Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. The selected candidate will research novel methods in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects in order to advance collection-based research. •Establishment of own projects, research questions and approaches for image and data analysis of collection data with focus on broadly applicable methods able to deal with little available data (e.g., zero-shot, few-shot or weakly supervised approaches and foundation models) •Experience with:Current methods, tools, languages and frameworks in computer vision and deep learning (e.g., Linux, Bash, Python, Pytorch, Gradio, Numpy, Pandas, Huggingface, Ollama) -LLMs and foundation models in general
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