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check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical
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classifies regions according to the urgency of waste management needs by applying data-driven techniques to model PV module waste flows and propose optimized strategies for both recycling and reuse
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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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or postgraduate degree with focus in cellular and molecular biology, gene editing, human stem cell biology, hematopoiesis and leukemogenesis Experience with gene editing technology, HSC culture, and in vivo models
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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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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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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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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