The Department of Biochemistry and Molecular Biology and the Department of Mathematics and Computer Science at the University of Southern Denmark (Associate Professor Veit Schwämmle and Associate Professor Richard Röttger) invite applications for a postdoctoral fellowship within the field of computational proteomics to be filled by 1 January 2021 or soon thereafter, for a period of one year, extendible for another year.

The research project entails the implementation and optimization of deep learning models for enhanced identification of peptides and proteins from mass spectrometry data. The selected candidate will use high-end artificial intelligence methods to fully utilize the information contained in data from tandem LC-MS experiments from proteomics experiments, with the aim to vastly reduce both instrument time and expenses.

The Protein Research Group offers:
A strong international research environment in protein chemistry, biomolecular mass spectrometry, and computational proteomics. Our computational proteomics efforts include the implementation of reproducible proteomics workflows, statistical tools for improved data interpretation, and quantitative functional proteomics.

The Computational Biology Group offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised as well supervised learning. We also provide the candidate with direct access to state-of-the-art computer facilities optimized for deep learning.

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 computational proteomics or bioinformatics. Expertise in the analysis of 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.

Deadline: 1 December 2020.


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