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Tobias Andermann is an Assistant Professor at Uppsala University, focusing on the intersection of computational biology and biodiversity research. His work primarily involves the application of artificial intelligence techniques to large-scale environmental DNA datasets and high-resolution remote sensing data. He aims to enhance the understanding of biodiversity, particularly in areas that are threatened and require conservation efforts. Tobias emphasizes the development of standardized methods for measuring and modeling biodiversity at specific locations. His research group is dedicated to addressing the ongoing biodiversity crisis through innovative methodologies that capture local biodiversity using environmental DNA. He collaborates closely with laboratories to refine on-site sampling protocols, develop AI prediction systems, and integrate high-resolution remote sensing data into biodiversity assessments.
General Master's requirements applying across Science, Technology, and Humanities departments.