Time Span 01 Jun 2023 for 4 years Application Deadline 31 Mar 2023 Financing yes Type of Position
Field of Research
Subjects Bioinformatics, Biostatistics or a related discipline Description We invite applications for a PhD position with a strong background or interest in bioinformatics, big data analytics, machine learning, applied mathematics and its application in computational proteomics. The successful candidate will become a key member of an ERC Starting Grant funded project called ORIGIN which aims to answer a fundamental question in biology: To which extent and prevalence are isoforms translated and functionally relevant.
While mass spectrometry-based proteomics is the de-facto standard for measuring proteomes, it is not good at identifying isoforms. Proteins, thus also isoforms, leave a deterministic multi-dimensional fingerprint in each proteomic measurement. The central goal is to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy that utilizes these fingerprints. Candidates therefore must have a strong interest in one or more of the following aspects:
Tap into the wealth of data the proteomics community has already amassed to train deep neural networks that allow the prediction of fingerprints. Implement an innovative data analysis strategy that utilizes the predictions to identify and quantify isoforms. Demonstrate that the novel approach can be used to address open questions in isoform-biology of varying biological and technical complexity.
The main work duties of the PhD are in research and assisting in the supervision of bachelor and master-level scientist.
For more information read the complete announcement at: https: // www1.ls.tum.de/en/compms/job-offers/computational-proteomics-phd/
Language of Dissertation
More Information https: // www1.ls.tum.de/en/compms/job- offers/computational-proteomics-phd/