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for the Evolutionary Understanding of Human Diseases (Apollo). Information on the department can be found at https://globe.ku.dk . Our research The APOLLO Ancient Genomics Initiative is a pioneering research program led
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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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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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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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smooth as possible (http://www.au.dk/en/internationalcentre/ias /), and the department will assist foreign candidates with finding a suitable place to live. Contact information Further information may be
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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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, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on the effects of ADHD medication in children and young adults. The studies will
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postdoc’s duties will include research within invertebrate biology, cell biology and marine ecology as well as some teaching. Further information on the Department is linked at https://www.science.ku.dk
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https
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Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with