CHARMM-GUI
Postdoctoral Positions in Machine-learning Guided Design of Advanced Biologic Th
CHARMM-GUI, West Lafayette, Indiana, United States, 47907
CHARMM is a versatile program for atomic-level simulation of
If your skills, experience, and qualifications match those in this job overview, do not delay your application.many-particle systems, particularly macromolecules ofbiological interest. - M. KarplusPostdoctoral Positions in Machine-learning Guided Design of Advanced Biologic TherapiesDate 2024-08-23Location Purdue University, West Lafayette, IN, USADescription Professors Arezoo Ardekani and Severin T. Schneebeli at Purdue University are seeking a highly motivated postdoctoral candidate to work on an exciting joint project focused on the machine-learning guided design of advanced biologic therapies. The position will be joint between the Ardekani and Schneebeli laboratories in the Departments of Industrial & Molecular Pharmaceutics and Mechanical Engineering. The Ardekani and Schneebeli research groups are both focused on advancing the formulation and delivery of biologics innovative new drug modalities such as peptide, protein, and RNA drugs with combined experimental and computational techniques. In this joint project, these lines of research will be further advanced by integrating machine learning into the discovery/development pipeline. More information can be found on the current group websites:
https://engineering.purdue.edu/ComplexFlowLab/https://www.schneebelilab.org/How to Apply Applicants should have a Ph.D. in Computational Chemistry, Analytical Chemistry, Pharmaceutics, Biochemistry, Biophysics, Computer Science, Chemical Engineering, and related fields. Desirable skills include a good understanding of molecular structures and force field methods, molecular dynamics simulations, basic programming skills, solid doctoral publication record, good verbal and written communication skills, and an ability to work effectively in a teamwork environment with collaborators from different disciplines. Prior experience with machine learning or Python programming will be a plus. Salary will be commensurate with experience.
Applications should include CV, representative publications, the names of three referees, and a cover letter detailing their qualifications for this position.
Applications should be sent by email to ardekani@purdue.edu and schneebeli@purdue.edu
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If your skills, experience, and qualifications match those in this job overview, do not delay your application.many-particle systems, particularly macromolecules ofbiological interest. - M. KarplusPostdoctoral Positions in Machine-learning Guided Design of Advanced Biologic TherapiesDate 2024-08-23Location Purdue University, West Lafayette, IN, USADescription Professors Arezoo Ardekani and Severin T. Schneebeli at Purdue University are seeking a highly motivated postdoctoral candidate to work on an exciting joint project focused on the machine-learning guided design of advanced biologic therapies. The position will be joint between the Ardekani and Schneebeli laboratories in the Departments of Industrial & Molecular Pharmaceutics and Mechanical Engineering. The Ardekani and Schneebeli research groups are both focused on advancing the formulation and delivery of biologics innovative new drug modalities such as peptide, protein, and RNA drugs with combined experimental and computational techniques. In this joint project, these lines of research will be further advanced by integrating machine learning into the discovery/development pipeline. More information can be found on the current group websites:
https://engineering.purdue.edu/ComplexFlowLab/https://www.schneebelilab.org/How to Apply Applicants should have a Ph.D. in Computational Chemistry, Analytical Chemistry, Pharmaceutics, Biochemistry, Biophysics, Computer Science, Chemical Engineering, and related fields. Desirable skills include a good understanding of molecular structures and force field methods, molecular dynamics simulations, basic programming skills, solid doctoral publication record, good verbal and written communication skills, and an ability to work effectively in a teamwork environment with collaborators from different disciplines. Prior experience with machine learning or Python programming will be a plus. Salary will be commensurate with experience.
Applications should include CV, representative publications, the names of three referees, and a cover letter detailing their qualifications for this position.
Applications should be sent by email to ardekani@purdue.edu and schneebeli@purdue.edu
#J-18808-Ljbffr