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of the professorship lies at the clinical, scientific, and legal intersections of neuroradiology and epileptology. The working areas involved, proven through relevant publications, are image-based clinically integrated
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holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
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to adapt. Your tasks Given the paradigm shift in marketing of searching products from search engine to direct recommendation from Chatbot based on Large Language Models (LLMs), we’d like to explore following
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system) Evaluation of real-time capability and measurement quality Validation of the solution in a prototype test environment Documentation and presentation of the results This is your contribution
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established that reliably identifies the connected components in the diagrams. You will learn about novel AI models and exchange ideas with experts from the building sector. The "Image Processing and Machine
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, NumPy, Pandas and similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work
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similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work independently and
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analyse and present the results of the experiments, for example through microscopic examinations of boreholes or the evaluation of high-speed camera images What you bring to the table You are studying
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advanced imaging. Experiments will be carried out with laboratory-grown co-cultures. What do we expect from you? The successful candidate will: Cultivate relevant fungal, diatom, and algal isolates Conduct
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, imaging and material characterization applications (THz sensor technology) Leadership position for the “THz Components & Systems” lab at the Ferdinand-Braun-Institut, Leibniz-Institut für