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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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-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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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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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
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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Genomics Core facility, in addition to doing technology development in an independent research group in the broad area of genome biology. About us The Genomics Core facility (GeneCore ) at EMBL Heidelberg is
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electrolysis. As an MSc student, you will design and implement a suite of AI “agents” (autoencoders, statistical models, LSTMs and LLM-based rule engines) that process historical and live sensor data (voltage
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with