We are seeking outstanding candidates with strong analytical and problem-solving skills, who are strong in written and oral communication (in English) and have documented experience in machine learning (in particular deep learning) and bioinformatics. Expertise in handling and understanding protein mass spectrometry data is an advantage, but not a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students. The selected candidate will develop a proof-of-concept framework for detecting antibody-derived peptide signatures in proteomics datasets. More specifically, the research project entails the analysis of millions of B-cell receptor sequences by machine learning to determine disease-specific antibody peptides that can be detected in proteomics datasets.
Jan-9-2022, 07:10:59 GMT