NovaMechanics (www.novamechanics.com ), a Cheninformatics & Nanaoinformatics company, is looking for a creative and highly motivated Ph.D. candidate student to join our office in Larnaca, Cyprus, to bridge between automated chemistry, computer-assisted drug design, analytics, machine learning (ML) and AI.
The development of novel drugs is a multiparameter optimization progress that requires several iterations of designing, making, testing, and analyzing compound. Leveraging artificial intelligence methods and integrate them into automatic chemistry platforms can accelerate the drug design cycle. The successful candidate will develop new ideas, methods and algorithms to improve our existing platforms (e.g., Enalos Suite, Enalos Cloud Platform, chemPharos database, and Isalos Analytics) The Ph.D. candidate will work in a cross-functional pan European team including computational chemists, synthetic chemistry, structural and in vitro biology.
- Development and implementation of Artificial Intelligence-based methodology for the design of novel compounds
- Application of in-silico and AI/ ML-based technologies for lead generation and lead optimization
- Systematic analysis of data sets for machine learning
- Communication of AI-technologies and applications to Stakeholders
- Collaboration with project teams to support the progression of lead generation and lead optimization projects
- Driving and organizing collaborative efforts with internal and external partners
How to apply
The candidate should submit a detailed CV and a cover letter matching the above according to his/her expertise. Two recommendation letters are needed from industrial or academic environment. The recommendation letters should not be general and should be referred to the above qualifications. Incomplete applications will be ignored.
All the above should be submitted until 30/11/2020 to hr[at]novamechanics[dot]com with Ref: MarieCurie2020.
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