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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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methods for simulating and validating drive trains and drive train components of wind turbines. A particular focus of our work is on creating detailed simulation models that can be used to plan, support
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Your Job: In this master’s thesis project, you will focus on the application of visual foundation models for the automated analysis of grain growth in nanocrystalline metals imaged by in situ
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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highly motivated Master’s student (f/m/x) to join our research team for a thesis project. Your tasks The lab has previously established an in vivo model system for pooled single-guide RNA (sgRNA) CRISPR
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the Fraunhofer TALENTA Women's promotion programme Work-life balance through flexible working time models, With-Child office, hybrid working and many other offers Good transport connections and a discounted job
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the structure of the mean climate and project future climate change – and how these effects compare to those from conventional climate models. YOUR RESPONSIBILITIES Develop an original research program that