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Field
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of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver
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of the leading and most dynamic research institutions in the country. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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, design flexibility, high temperature stability, batch production and high sensitivity. Having demonstrated several use cases of CMUTs in the past, the MAS group is actively researching innovative CMUT
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interdisciplinary collaboration. That’s why our projects are designed specifically to connect diverse scientific fields and foster cross-institutional collaboration, enabling you to benefit from the combined
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the project “Physically informed pattern mining and deep learning to study fine scale ocean processes” starting as soon as possible, presumably on 01. January 2026. The position offers the opportunity to pursue
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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Your Job: Design and development of an in-house X-ray beamline for long term operando investigation of chemical hydrogen storage reactors Unravelling of relationships between catalyst structure and
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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based on the integration of organic light emitting diodes (OLED) or organic sensors on CMOS substrates. Our field of activity ranges from the first idea, to the conception in close interaction with