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Field
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Description Scope of duties (full-time, on-site post-doctoral position): a. Synthesis of metallic nanostructures (both bare and surface-functionalized), b. Optimization of materials intended for the fabrication
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
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, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
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generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
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characterization. The successful completion of this task will provide key insights into protein components that tune and optimize cyanobacterial bioenergetics, contributing directly to biotechnological applications
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strains into public culture collections, including standardized quality control and documentation. The position is funded through two interconnected projects within the DFG Priority Programmes Biodiversity
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). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed
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++ and Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research