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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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information Applicants seeking further information are invited to contact Professor Jens-Christian Svenning, phone +45 28992304, e-mail: [email protected]. Deadline Applications must be received no later than
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Do you enjoy finding solutions to integrate and analyse large ecological data sets with advanced methodologies? Are you creative and able to couple various data flows and provide end user targeted
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local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the seafloor and sub
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Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience in applied AI, and with Large Language Models. Solid programming
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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and proficiency working with large datasets (experience working with Danish national registers strongly preferred) Experience and proficiency with data analysis and statistical modeling Competence with