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Field
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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constant intervention of an experienced operator/user. ISOL systems are complicated with many tens of parameters to tune beforehand and require experience and training to be able to do it optimally. Due
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
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) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio frequency
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—within SDV control frameworks? How can hybrid AI+physics-based optimization strategies be designed to support predictive maintenance and extend battery lifespan under dynamic environmental and operational
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Your Job: Conduct the assembly, verification, and calibration of a novel optical instrument in our Cleanroom-5 laboratory at the University of Wuppertal Work with a variety of calibration units
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analysis and geomechanics Interest in uncertainty quantification/sensitivity analysis/optimization Proactive, independent work ethic and ability to work effectively in a multidisciplinary environment
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is