Phd Student

vor 2 Monaten


Halle Saale, Deutschland Martin-Luther-Universität Halle Wittenberg Vollzeit

The Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences I, Institute of Pharmacy, has a vacancy for a fixed term position for 3 and half years at the earliest possible date as a

**PhD Student (m-w-d)**

to be filled as part-time (50 %).

Remuneration will be paid up to pay group E13 TV-L, depending on the tasks assigned and fulfilment of the

personal requirements.

The position is a part of a joint project between the Institute of pharmacy at MLU and computational chemistry group at Leibniz Institute of Plant Biochemistry (IPB-Halle). The PhD position will be placed mostly at the computational chemistry group at IPB Halle (AG Davari).

**Tasks**:

- Preparation of enzyme data from public databases and transcriptomic data
- Development of machine learning (ML) architectures for the prediction of functions and enzyme-substrate pairs
- In silico enzyme mining
- Prediction of the recombination landscape of enzyme variants by ML models
- Enzyme characterization and preparation of protein mutants
- Possibility to get a doctoral degree is given

**Requirements**:

- Diploma or Master's degree in computational biology, bioinformatics, cheminformatics, computational (bio)chemistry or biophysics or a comparable field
- Profound knowledge in one of the following areas: Programming language (Python, C/C++), machine learning and deep learning methods (PyTorch, TensorFlow), knowledge management and databases, computational biochemistry or biophysics
- Experience in state-of-the-art machine learning methods (deep learning, active learning and reinforcement learning)
- Previous experience in cheminformatics would be an advantage, but is not a prerequisite.
- Knowledge of biochemical and enzymological methods, e.g. enzyme characterization and protein mutations, is an advantage
- Creative, curious, team-oriented and enthusiastic personality

**Job Type**: Part-time

Work Location: In person

Application Deadline: 28/10/2024


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