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include Drive research projects which include analysis of tissue images from multiplex immunofluorescence, spatial proteomics and transcriptomics Drive development of deep learning and computer vision tools
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evolutionary analysis. A central component of the research will be to develop machine learning and deep learning methods trained on coding sequences and protein structure to extract patterns in data and to draw
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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lecturer, and – depending on your future development – eventually professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish
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lecturer, and – depending on your future development – eventually Professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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and computational modeling to understand complex biological processes. Experience in statistical modeling, machine learning, or analysis of spatial or high-dimensional biological data is considered
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on documented qualifications regarding programming, machine learning, AI tools for image analysis. Knowledge of Python, Matlab, C/C++ or similar programming language is an advantage. Consolidated experience with
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and conducts research and teaching mainly in Electrical Engineering and Computer Technology. We are located on LTH's campus in northern Lund. The Division for Electromagnetics and Nanoelectronics has 10