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-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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application! How does AI transform how firms create value and compete? We are launching a new research project to explore how specialised AI models are reshaping the conditions for value creation and innovation
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effects, never observed before in an experimental setting, through numerical modelling and laboratory experiments. This PhD thesis is part of a collaboration with the École Normale Supérieure de Lyon and
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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Postdoctoral Fellow Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department
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member of "Carb2Mol" and considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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techniques in order to design and develop custom models for detecting landing zones in real-time based on drone camera input, while considering factors like terrain, obstacles, and environmental conditions. It