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of following the “Building with Nature” paradigm, to understanding how achieve a healthy biodiverse environment. We do frontier applied science, meaning that we link fundamental understanding to societal usage
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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Again – AI-driven Voice Restoration for Pathological Speech• Machine Learning and In Silico Modeling of Sex Differences in Temporomandibular Joint Function• AutoPiX – Machine Learning for Imaging-Based
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, works presented at congresses, patents granted or licensed, and, in general, any other contribution that allows the assessment of the different aspects of research, including technology transfer. b) Other
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communication of the provisional lists of the results in the different phases of the selection process (Admission and Exclusion, Curricular Evaluation, and Interview), the candidates have 10 working days
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framework to provide new insights into the effects of optics, retinal structure and function on eye size at different life stages.
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19 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Department of experimental medical science Research Field Medical sciences Computer science Mathematics