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research institution and have the opportunity to apply the theoretical knowledge you have acquired during your studies in a practical setting. You will learn about our structures and processes in
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(www.cda.cit.tum.de ). Accordingly, we are currently searching for a Ph.D. student to join our team on AI for Chip Design! Our Research In our group, we create, modify, and adapt AI methods (such as Machine Learning
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infrastructure and outstanding career development opportunities (e.g., heiTRACKS) Competitive salary and extensive benefits Possibility to teach in the area of your expertise (English or German) The remuneration
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general approaches from cognitive science (resource-rational analysis) to investigate in how far LLMs may acquire “causal world models”. The focus of the project is on the latent representations in LLMs
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of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in written and spoken German and
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vesicle cluster in cellular context outside of the confines of a synapse, including in non-neuronal cells. In the course of this project, the student will acquire proficiencies in basic and advanced lab
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scholarship Travel funding Graduate programmes Biological Clocks on Multiple Time Scales (Clocks) Subject Specific Learning and Interaction in Elementary School (INTERFACH) Just and sustainable transformation
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine
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in laboratories, with scientific equipment, and in digital data processing. You are motivated to learn how to control modern technologies, methods, and processes in the field of optical sensors. You