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intelligence (e.g., reinforcement learning for scheduling, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and
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research by: 🐟 Developing a smad3 knockout zebrafish model, 🔬 Optimizing in vivo visualization of aortic enlargement and molecular dysfunction, 💊 Developing a pathogenic signalling-based drug screening
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machine learning to generate more accurate demand and supply predictions, which will then be used in the optimization process. The project will also investigate the strategic use of real-time sensor inputs
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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, yeast and mammalian cells including primary cells from affected CDG patients.•The generation of cellular models using CRISPR/Cas9 gene-editing and other techniques.•Development and optimization
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mechanisms for distributed learning, real-time analytics, and AI-driven decision-making across heterogeneous environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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» Computer engineering Engineering » Electrical engineering Engineering » Other Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Application Deadline 23 Apr 2026 - 21
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negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
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on the efficiency of the grazing process, the performance of the herbivores and the health of the grasslands. As theorized by Charnov & Orians, herbivores are optimal foragers able to consume forage at higher rates