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18.03.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Research Associate and Doctoral Candidate (f/m
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, or green technologies We expect Master’s degree in agricultural economics, environmental/resource economics, industrial engineering, business informatics, or a related field Demonstrated interest in agent
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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years of experience with extensive expertise in microelectronics and microsystems technology. Our wide range of technologies spans from advanced semiconductor processes and MEMS technologies to innovative
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analysis and visualization Numerical modeling and programming for model optimization & machine-learning What you bring to the table You are studying Simulation Sciences, Mechanical Engineering, Computational
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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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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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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personal and professional growth, keeping employees up-to-date with the latest research and technology. Interdisciplinary collaboration: Our employees have the opportunity to collaborate with leading experts
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techniques: RT-PCR, immunoblotting, and Seahorse-based metabolic profiling Genetic engineering of T cells via viral and non-viral delivery systems Preparation of samples for high-throughput platforms: RNA-seq