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foundational and applied topics in computer vision and machine learning, with particular strengths in inverse problems, generative models, and geometric deep learning. We work across diverse application areas
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generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the sciences and engineering, with translational applications in areas such as drug discovery and materials
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein
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experimental effort at Lund University using Ambient Pressure X-ray Photoelectron Spectroscopy (AP-XPS) and X-Ray Absorption Spectroscopy (XAS). The main theme for the research at Chemical Physics is the
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tomorrow. About the department The main competences at the Department of Industrial and Materials Science are found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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) conducts research, education and outreach activities related to logistics, operations management, and industrial marketing and purchasing. All of these areas relate to the broader field of supply chain
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(M2) conducts fundamental and applied research across all transport modes to achieve sustainable technological solutions. We offer and contribute to bachelor’s and master’s programs in areas like