Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
-
consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
-
, next-generation sequencing such as long-read sequencing, and high-throughput analysis techniques. Primary tasks: Culture human T cells and cancer cells Design multiplexed CRISPR strategies Analyse
-
the development of γδ T cells and their importance in various diseases, such as cancer and inflammation. Technically, our work is heavily focused on flow cytometry and single-cell RNA-sequencing and as a successful
-
PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
environment. Our research facilities include modern laboratories located in the Mærsk tower with access to state-of-the-art facilities for cell engineering, next-generation sequencing, flow cytometry, and mass
-
/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
-
tasks: Design OFC and AWG according to standards of optical communication by using commercial software; Study different mechanics to align the output of OFCs and working wavelengths of AWGs, and apply
-
for next generation sequencing, single-cell transcriptomics, flow cytometry, mass spectrometry, metabolomics, bioimaging and transgenic mouse work. Strategic research alliances exist with Odense University