CHARMM-GUI
Postdoctoral Positions in Machine-learning Guided Design of Advan...
CHARMM-GUI - West Lafayette, Indiana, United States, 47907
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Overview
CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus
Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered. Postdoctoral Positions in Machine-learning Guided Design of Advanced Biologic Therapies
Date 2024-08-23
Location Purdue University, West Lafayette, IN, USA
Description 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, including innovative new drug modalities such as peptide, protein, and RNA drugs, using 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:
Complex Flow Lab Schneebeli Lab
How to Apply Applicants should have a Ph.D. in Computational Chemistry, Analytical Chemistry, Pharmaceutics, Biochemistry, Biophysics, Computer Science, Chemical Engineering, or related fields. Desirable skills include a good understanding of molecular structures and force field methods, molecular dynamics simulations, basic programming skills, a 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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Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered. Postdoctoral Positions in Machine-learning Guided Design of Advanced Biologic Therapies
Date 2024-08-23
Location Purdue University, West Lafayette, IN, USA
Description 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, including innovative new drug modalities such as peptide, protein, and RNA drugs, using 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:
Complex Flow Lab Schneebeli Lab
How to Apply Applicants should have a Ph.D. in Computational Chemistry, Analytical Chemistry, Pharmaceutics, Biochemistry, Biophysics, Computer Science, Chemical Engineering, or related fields. Desirable skills include a good understanding of molecular structures and force field methods, molecular dynamics simulations, basic programming skills, a 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