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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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bridging clinical practice and data science. It comprises three research groups: (1) Clinical AI, (2) Bioinformatics and Statistics, and (3) Data Science Methods. The postdoc will be part of the Data
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processing, flow cytometry and FACS sorting, neuronal, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and
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, Computational Biology, Bioinformatics, or a related field Strong background in immunology, including T cell biology and dendritic cell biology Experience with transcriptomic data analysis, including bulk
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advanced bioinformatics pipelines to advance both primary and collaborative laboratory initiatives. Key responsibilities include serving as the primary author and driver for scientific manuscripts
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orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish
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, regardless of personal background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support
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parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in order to support their integration into the workplace and Danish
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transplantation, or ischemia-reperfusion injury, organ preservation, or inflammation/senescence biology. - Experience with multi-omics data analysis, bioinformatics, or computational biology - A record of peer
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. Desirable criteria Experience with differentiation of human induced pluripotent stem cell derived neural progenitors into a striatal neuron lineage Experience in the use of bioinformatics tools for