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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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perform phenotyping. In addition, you will utilize mass spectrometry (metabolomics, proteomics, chemical biology) to define metabolic targets. You will be the primary driver of the project, working
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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expertise in regulatory proteomics, ADP-ribosylation biology, and mass spectrometry-based technology development. Postdoctoral position #1 is funded through a recently awarded grant from the Danish Cancer
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the Jensen team, projects are carried out independently or in interdisciplinary collaboration with leading structural- and/or mass spectrometry-biologists. The team consists of a dynamic mix of experimental
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging