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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human
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Good knowledge of machine learning (e.g. Object Detection & Identification, Generative AI, etc.) Experience in project management or scientific project-based research work Good written and spoken English
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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. This includes research on the optimal lithography process. Here, piecewise interference lithography will be investigated, the so called SMILE-process (Stepped Mask Interference Lithography Exposure). Objectives
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Infection-Reactive Implants (SIIRI)", funded by the Deutsche Forschungsgemeinschaft (DFG), investigates fundamental mechanisms of implant complications across various medical disciplines to develop detection
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group together with the Leibniz Institute for Solid State and Materials Research in Dresden developed a new approach for this challenge using surface acoustic wave detection of photoacoustic signals from
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available in the further tabs (e.g. “Application requirements”). Objective A cooperation agreement on the joint training and education of PhD students has existed between the Chinese Academy of Sciences (CAS
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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generation of protein therapeutics that can overcome resistance mechanisms in cancer pathways. Specific objectives include: Identifying protein modalities most predictive and functionally relevant to the EGFR