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Field
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challenges in optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project
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spectroscopy, with time-resolved and spatially resolved capabilities in the visible and near-infrared. Build, maintain, and optimize experimental setups, including systems for optical measurements in
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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on the biological control of legume diseases using microalgae–phosphite–based strategies. The selected candidate will lead and contribute to research integrating plant pathology, microbial biotechnology, and
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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. Specifically the duties of the post will include Lead the radiation biology work-stream within our GLIOTREAT project to • Develop and optimize radiation protocols • Design and execute combination treatment
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background in microalgal or microbial cultivation, photobioreactor operation, and process control. Knowledge of bioprocess design, hydrodynamics, or model-based optimization. Understanding of microbial stress
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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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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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2