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Field
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, preferably in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or a comparable course of study Enjoy developing your own ideas and
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, materials science, materials engineering, industrial engineering, computer science, chemistry or another comparable course of study. You are interested in technical challenges in application-oriented research
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existing technologies, 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
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17.02.2026, Academic staff A doctoral position (75% TVL-E13) in numerical analysis is available at in the DFG-funded Emmy-Noether Junior Research Group of Dr. Muhammad Hassan on the Numerical Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of...
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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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sciences, computer science, a related course of study or a field of study suitable for your specialization Enthusiasm for technological challenges and industry-related research projects Interest in
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offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support
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engineering, chemistry, mechanical engineering, or related field. You have expierience working in chemical laboratories. You are confident working independently and you are a good communicator. You are computer
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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mechanical engineering, computer science, materials science or a comparable subject and fulfil the following requirements: • Motivation to explore scientific challenges • Previous experience with Comsol