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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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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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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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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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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
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duties and areas of responsibility As an assistant researcher within the research group, you are responsible for analyzing data in our studies. Your tasks mainly include the analysis of genetic data and