Postdoktor inom strukturbaserad läkemedelsdesign med maskininlärning
Core
Develop and apply structure-based screening methods to identify ligands for peptide-binding receptors using computational simulations.
Role type
Postdoctoral researcher (computational chemistry & machine learning)
Builds
Predicted protein-ligand complexes and identified bioactive peptides
Domain
Computational chemistry, structural biology, drug discovery
Deliverable
production ML models
Required skills
computational chemistry, chemoinformatics, structure-based ligand design, molecular docking, co-folding methods, chemical library management
Preferred skills
machine learning, receptor/peptide structure-based modeling, programming
Technologies
molecular docking software, co-folding tools, chemical databases
Responsibilities
Develop structure-based screening methods for peptide-binding receptors; Apply molecular docking and machine learning to search combinatoric and natural peptide libraries; Collaborate with experimental groups on Biodiversity2Drugs project.
Seniority
Postdoctoral researcher