At CODDIA our primary focus lies in gaining a deep understanding of the mechanisms governing the structure, dynamics, and functionality of potential drug targets. Our aim is to expedite the drug discovery process. To achieve this objective, we harness a variety of computational techniques focused in structural biology data, cheminformatics, and artificial intelligence (AI) based methods. These approaches encompass virtual screening, molecular dynamics simulations, machine learning, molecular modeling, and more.
We are inviting applications for a PhD candidate and a postdoctoral associate position in the broad field of computational chemistry/biophysics to come and work in our computational group in drug discovery projects.
Postdoc Opportunity in AI for Drug Discovery
Research projects will include:
• Developing Virtual Screening pipelines in accessing the expanded chemical space
• Employing AI and machine learning to discover new bioactive molecules targeting prominent drug targets.
• Investigating conformational states of biomolecular complexes through molecular dynamics and information-driven modeling.
• Understanding functional selectivity of transmembrane receptors
• Collaborating with experimental groups for validating results
Prerequisites:
• PhD in the field of computational biology, computational chemistry, computational biophysics, Bioinformatics, or similar field and experience in drug discovery.
• Analytical ability, expert programming skills and knowledge of one of the following:
• molecular dynamics simulations, docking analysis, machine learning/deep learning, virtual screening, etc.
• Excellent English speaking and writing
• Strong communication skills and the ability to collaborate and train junior colleagues.
PhD Candidate for research in Machine Learning and AI for Drug Discovery
Research Description:
Your research will include:
• Developing Virtual Screening pipelines in accessing the expanded chemical space
• Employing AI and machine learning to discover new bioactive molecules targeting prominent drug targets.
• Understanding functional selectivity of transmembrane receptors
• Collaborating with experimental groups for validating results
Prerequisites:
• Bachelor’s degree in Chemistry, Biology, Pharmaceutical Sciences, Physics, Engineering
• MSc in the field of computational biology, computational chemistry, computational biophysics, bioinformatics, drug discovery or similar area.
• Excellent English speaking and writing
If you are passionate about computational biophysics/chemistry and are ready to contribute to cutting-edge research, we encourage you to apply and be part of our dynamic research team
Qualified applicants should send a CV and at least 2 reference names by email to Dr. Minos Matsoukas at mmatsoukas@uniwa.gr. Review of applications will begin immediately and continue until the positions are filled.