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may also include teaching and other departmental duties (no more than 20%). The research will focus on Numerical Analysis for Physics-Aware Deep Kernel Learning This doctoral project lies
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environments, safety monitoring for autonomous systems, and code review analysis driven by eye tracking. The division has strong collaborations both locally within Lund University, internationally with other
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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects
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. Future breakthroughs in this field will depend on fundamental insights and going beyond single-component superstructures. Key goals include deepening our understanding of structural details and self
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detector systems and supporting users in data analysis and visualization. These services are delivered through both online and offline platforms, often web-based and AI-powered in the near future
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analysis is complemented and correlated with circulating tumor DNA (ctDNA), as well as immune cell composition in serial blood samples collected during therapy. The work is carried out in close collaboration
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Subject description T-cells are a crucial component of the immune system and play a vital role in immunotherapy for cancer treatment. There is currently an incomplete molecular understanding of T
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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patient samples. It is preferable that the applicant has a background in tumor biology. Because of the scope of the project, knowledge and experience in animal work, flow cytometry analysis and confocal