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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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will also be involved in data collection by conducting experiments in the fish laboratory. While the focus of the position must be aligned with the group’s scientific vision, the successful applicant
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience of working with molecular questions in the biosciences An interest and
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intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on the design and optimization of various types of turbomachinery. The design and optimization
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at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme "Engineering Nanoscience" at LTH. A significant part of the research at our division is in
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learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further development. Detailed description of the work duties, such as: To build thermal
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. The department has a comprehensive doctoral programme and coordinates three international Master’s programmes. It enjoys a well-established reputation for its broad research profile, with an emphasis on long-term