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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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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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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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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Surface Science Area of research: PHD Thesis Starting date: 13.10.2025 Job description:EU MSCA doctoral (PhD
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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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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Materials’ as well as ‘Adhesive Bonding Technology and Surfaces’. Research and development work is focussed on providing customers with reliable and application-oriented solutions. Products and technologies
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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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, providing excellent conditions for high-impact analytical work and method development A broad and diverse project portfolio spanning basic biology, translational and clinical research – ideal if you like