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and forest management Strong interest in programming and computational data analysis Knowledge in handling of large data sets Familiarity with data processing software for eddy-covariance data (e.g
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of Particle and Nuclear Physics at the Department of Physics. More information is available at the Division’s website, Division of Particle and Nuclear Physics , or the Lund University Research Portal . We
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Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific software Experience with scientific data visualization and related tools
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with industry and society at large administration related to the work duties listed above Qualifications Appointment to a position as a researcher requires that the applicant has a PhD. Required
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' at the Faculty of Science, 'Algebra, Analysis, and Dynamical Systems,' 'Applied Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical
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of nanophysics, ranging from materials science to bio- and quantum physics to various applications. The Division is a central part of NanoLund, Lund University's large interdisciplinary research centre
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immuno-oncology, sensitization and biomarkers. Advanced technologies are used within the department, including genomics and transcriptomics, phage display-based antibody development, large-scale mass
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-on experience with CW and pulsed laser systems Experience in building optomechanical setups and in handling optical fibers Knowledge of macromolecular crystallography Experience from a large-scale facility such
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at the time of appointment. The position is time-limited to five years with the possibility for promotion to Senior Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and
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of genomic sequences. Despite the growing availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based