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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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explain the evolution of common ground in humans. For more information about the methods and data, see the following articles: Requirements for employment are a completed M.Sc. or equivalent in a relevant
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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. The successful candidate will use advanced spectroscopic methods to study the structure and reactivity of nitrogenase enzymes and biomimetic complexes, contributing to a broader effort to understand
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motivated to carry out precision experiments and implement novel measurement methods • Strong initiative, effective working style • High level of creativity and drive to experiment intensely • Willingness
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methods for the contactless detection of plant conditions. The position is being advertised as part of the joint project ‘DHYNAmite - Integrative plant protection through drone-based hyperspectral