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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible
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Research - Communication (Level 2) Research - Creative thinking (Level 2) Research - Initiative (Level 2) Research - Networking (Level 2) Research - Results orientation (Level 2) Research - Teamwork (Level 2
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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on testing a set of promising pre-identified catalysts in the existing experimental set-up. Based on your findings, you will optimize the catalytic systems and/or adapt the experimental plant to achieve
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underground conditions. Apply machine learning and AI techniques to enhance model accuracy and optimize design parameters. Contribute to the development of a comprehensive, AI-based design methodology for LUS
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. Fluency in English (oral and written). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision
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optimization and sensitivity experiments for each portfolio design problem to explore the outcomes for correlation and causation between the metrics, groups, and network changes, and establish Pareto optimal
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Your job Are you committed to reducing food waste? Are you interested in how coordination, dynamic pricing and redistribution may affect food waste? Do you have a passion for applying optimization
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization