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to enable collaborative work between the two strategic research areas eSSENCE and NanoLund (https://www.essenceofescience.se/ and https://www.nano.lu.se/ ), which means that the postdoc will benefit from
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management. Data from case studies (inspections, monitoring, and experimental tests) are used for model updating, calibration of safety formats, and prediction of future performance and remaining service life
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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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-level engineering relevance. We welcome applicants with a PhD in Aerospace Engineering, Mechanical Engineering, Energy Engineering, Applied Physics, or a closely related field. The candidate should have a
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advances focused microwave heating as a safe, quantifiable, and effective cancer treatment modality. Using a numerical model of our hyperthermia system, we are the first group worldwide to demonstrate
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for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods. Requirements: PhD degree in chemistry, physics, materials science or engineering, or a
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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of two former supervisors A complete publication list (can be included in your CV) A copy of your diploma (PhD or equivalent) We warmly welcome your application! Where to apply Website https://lu.varbi.com