📣 Finde deinen Traumjob als PhD Position - Study the Protein / Protein Interface Energetics by Means of Free Energy Calculations Performed Using ML/MM Potentials bei Forschungszentrum Jülich

Your Job:

Protein–protein interactions (PPIs) mediate a vast number of cellular pathways and processes, making them an important class of targets for drug discovery. However, decades of effort aimed at developing small molecule drugs to modulate PPIs have been rewarded with a relatively modest number of successes. The difficulty is thought to arise primarily from topology; The key issues of code scalability and the time scale problem will be addressed for the first time using a recently developed method that builds on metadynamics - an exact method to compute free energies - and the statistical mechanics of paths.

Expected Results:

• Investigation of the protein-protein interface energetic interaction for medically relevant dimers
• A ML/MM
• Potential model applicable to study protein-protein interfaces

Your Profile:

• University degree (Master) in physics, chemistry, applied mathematics or computer science
• Experience with UNIX-like operating systems
• Mathematical and programming skills (R, Python, Keras,Tensorflow)
• Ideal prior knowledge on MD simulations and ML
• Excellent knowledge of written and oral English: TOEFL or equivalent evidence of English-speaking skills
• Interactive person with good communication skills
• Used to work in international teams
• Willing to travel in different labs during PhD

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:

• A highly motivated working group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
• Outstanding scientific and technical infrastructure
• Opportunity to participate in (international) conferences and project meetings
• Continuous scientific mentoring by your scientific advisor
• Flexible work (location) arrangements, e.g. remote work
• 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
• Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www... [Vollständig anzeigen] services for international employees, e.g. through our International Advisory Service