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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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, classification, and report generation. Participation in sample preparation and image acquisition in order to understand the data generation process and optimally integrate it into model development. Close
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Research Center CRC 1535 “Microbial Networking” ( www.sfb1535.hhu.de ). WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option
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focused on syntheses of bioactive compounds of natural and non-natural origin, lead optimization, conjugation, e.g. to peptides or dyes for targeting and ADME studies, and on the completion of scientific
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conception Calibration and data assimilation Uncertainty quantification Surrogate and operator learning to accelerate simulation Optimal experimental design Model-based control / decision support Applications
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-supported circuit design! Around the world, intensive efforts are underway to improve the use of artificial intelligence. Optimizing the basic hardware components required for the enormous computing power
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sequencers Assisting in the establishment and optimization of standard operating protocols, making them available in a standardized manner within the internal electronic lab book environment (“Wiki
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project in close collaboration with industrial partners, research institutions, and an interdisciplinary team Design, develop, and optimize a modular, containerized plant for green ammonia synthesis
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solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. Interested? Then we look forward to receiving your application and getting
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compensate for the influence of hardware errors, you will identify optimization potentials and implement the latest error mitigation strategies. Your area of responsibility also includes applying