PhD & Postdoc Opportunity: At CODDIA, we are deeply committed to advancing our understanding of the mechanisms governing potential drug targets’ structure, dynamics, and functionality. Our mission is to accelerate the drug discovery process using a range of computational techniques, including structural biology data, cheminformatics, and artificial intelligence (AI). We invite applications for positions in our computational group, contributing to drug discovery projects.
Designation:
- Postdoc Opportunity in AI for Drug Discovery
- PhD Candidate for Research in Machine Learning and AI for Drug Discovery
Research Area: Computational Chemistry/Biophysics
Location: [Specify Location]
Eligibility/Qualification:
For Postdoc Opportunity:
- PhD in computational biology, computational chemistry, computational biophysics, bioinformatics, or a related field with experience in drug discovery.
- Strong analytical skills, expert programming abilities, and knowledge in areas like molecular dynamics simulations, docking analysis, machine learning/deep learning, virtual screening, etc.
- Proficiency in English (both speaking and writing).
- Excellent communication skills and a willingness to collaborate and mentor junior colleagues.
For PhD Candidate:
- Bachelor’s degree in Chemistry, Biology, Pharmaceutical Sciences, Physics, Engineering.
- Master’s degree (MSc) in computational biology, computational chemistry, computational biophysics, bioinformatics, drug discovery, or a related field.
- Proficiency in English (both speaking and writing).
Job Description:
For Postdoc Opportunity: As a Postdoc in AI for Drug Discovery, you will be involved in research projects including:
- Development of Virtual Screening pipelines to explore expanded chemical space.
- Utilizing 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 result validation.
For PhD Candidate: As a PhD Candidate, your research will encompass:
- Development of Virtual Screening pipelines to explore 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 result validation.
How to Apply: Qualified candidates should submit the following to Dr. Minos Matsoukas at mmatsoukas@uniwa.gr:
- Curriculum Vitae (CV)
- At least 2 reference names
Last Date for Application: Review of applications will commence immediately and will continue until the positions are filled.
Disclaimer: This job post is provided for informational purposes and is based on a reliable source. To obtain further information and verify details, please refer to the official website or contact Dr. Minos Matsoukas at mmatsoukas@uniwa.gr.
If you are passionate about computational biophysics/chemistry and are eager to contribute to cutting-edge research, we encourage you to apply and be part of our dynamic research team.
Note: Location information is not specified in the provided text; please check the official source for the specific location.
