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Your Job: This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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Commencement date: 1st March 2026 Work location: Geesthacht Application deadline: 31.12.2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively
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co-optimization and hardware-aware modeling Quantify performance and benchmark results against state-of-the-art architectures Support tape-out and testing of prototype circuits using Altium Designer
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses on machine learning-assisted PSPR optimization of recently developed lean Mg-0.1 Ca alloy
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. Severely disabled persons will be given preference if equally qualified. Our tasks are varied and adaptable - for applicants with disabilities, we work together to find solutions that optimally promote
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time-resolved phase transformation investigation using high-energy synchrotron X-ray diffraction. Within an international research team, you will work on a highly innovative scientific topic aimed
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of Digital Agriculture is engaged in simulation models of plant stands to improve plant system understanding and its control and optimization. Our research links Artificial Intelligence methods
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applications. The successful candidate will contribute to establishing and advancing the joint ALD laboratory, including the development of ALD rectors and process optimization for nitride based semiconducting
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group ofSebastian Stich works on the design and analysis of optimization methods