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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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benefits across European estuarine and coastal environments. The successful candidate will be physically based in Cork, Ireland, and will work closely with international partners on the logistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. The research component will focus on using a combination of satellite remote sensing and sediment transport modeling to understand inland river deltas (e.g. those forming in lakes and non-coastal
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how urbanization impacts humid heat stress across Mediterranean coastal cities over two decades. Optional Research Opportunity: Utilize social media data and natural language models to analyze
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are also investigated. Work includes for desktop analyses such as chemical kinetic modelling, process simulation, geographic specific bioresources, Life Cycle Analysis, sustainability analyses, techno
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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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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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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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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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For section 4.7 “Earth Surface Process Modelling” (department