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Field
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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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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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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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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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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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crops. Integrates data from advanced control systems and sensors (mass flow controllers, infrared gas analyzers, etc.) with software to optimize plant growth and development. Plans, directs, and executes
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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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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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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
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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