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areas providing a template for relevant directions: - Embodied Intelligence for Soft Robotic Systems - Foundational Models for Adaptive Soft Robots - Real-Time Adaptive and Stiffness-Aware Control
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
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Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
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to apply Website https://www.academictransfer.com/en/jobs/357797/post-doc-opening-predictive-con… Requirements Specific Requirements Required Qualifications: PhD in Robotics, Control, Mechanical Engineering
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extract far more information from EM measurements than ever before, creating new opportunities for fast, reliable, and quantitative non-destructive evaluation (NDE). This PhD is focused on developing
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Description The University of Wuppertal (Germany) invites applications for a PhD position (Research Assistant) in the group of Prof. Peter Zaspel, starting March 1, 2026. The position is part of
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: Textual Prediction of Survival (LLM classification & Attention Modelling) This project develops a model to predict patient survival by analyzing heterogeneous clinical documents. Unlike traditional methods