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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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development for powder-based metal AM technologies covering the whole AM chain. CAM2 is hosted by the Division of Materials and Manufacture at the Department of Industrial and Materials Science. The division
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– entrepreneurship as design, scientific entrepreneurship, theory-based view, iterative venture development, experimentation, iterative prototyping, effectuation, co-creation, balancing exploration and exploitation
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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
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) for turbulent hydrogen mixing and combustion. Optical and laser-based diagnostics will be used on well-defined reference cases to deepen the understanding of hydrogen’s mixing and reactivity. Numerical work will
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responsibilities Conduct laboratory-based research related to hydrometallurgical recycling and precursor synthesis Develop and evaluate methods for separation and purification of valuable elements Participate in
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undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position