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Position: Post Doc (m/w/d)
Institution: Leibniz-Institut für Lebensmittel-Systembiologie an der Technischen Universität München
Location: Freising, Bayern, Germany
Duties: Developing QSAR and machine learning models for peptide chemistry; Modeling tasks dealing with taste receptors (homology modeling, docking, explicit solvent/membrane Molecular Dynamics simulations); Network analyses of the taste signaling pathway; Taking on organizational tasks
Requirements: The ideal applicant has a strong background in physical/computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident prerequisites
   
Text: Post Doc (m/w/d) Developing QSAR and machine learning models for peptide chemistry; Modeling tasks dealing with taste receptors (homology modeling, docking, explicit solvent/membrane Molecular Dynamics simulations); Network analyses of the taste signaling pathway; Taking on organizational tasks The ideal applicant has a strong background in physical/computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident prerequisites
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