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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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polymer synthesis (e.g. controlled radical polymerization, ring-opening polymerization) Familiarity with polymer characterization methods (NMR, SEC/GPC, DLS, etc.) Interest in nucleic-acid delivery and
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with fluorescent reporters and high-throughput screening approaches
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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). Understanding these immune-modulating effects is essential to optimize ADC-based therapies. In our study, we plan to systematically investigate two clinically relevant HER2-targeting ADCs, each bearing distinct
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, or conditional deletion of defined dendritic cell subsets, providing powerful genetic tools for dissecting cell-specific roles in vivo. Using and optimizing these tools to study Type 3 Dendritic cells in mouse