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interventions and respective associated environmental impacts. Use of in situ/robotic technology for the spatial and event-driven investigation of benthic processes, their kinetics and areal quantification
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied science
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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Generative Engine Optimization (GEO) is an emerging practice that aims to increase a brand’s visibility in content generated by AI models – much like SEO does for traditional search. As AI-powered “answer
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environmental processes, methods for combining data- and physics-driven modeling, among others. Teaching responsibilities include courses in the university’s study programs Civil Engineering, Environmental
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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-driven) influence grain evolution Communicating results and contributing to collaborative research with partners at the Georgia Institute of Technology Your Profile: Completed Bachelor’s degree in
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell