Postdoctoral Researcher Associate I (Temporary)

About the role

This position centers on developing novel neural network approaches to predict protein conformational dynamics from fixed protein structures, addressing fundamental challenges in structural biology with broad applications in biomedical research.

Responsibilities

• Collaborate with a multidisciplinary team of researchers
• Develop and apply machine learning models to predict protein conformational dynamics
• Contribute to the advancement of innovative approaches in structural biology
• Support future discoveries in biology and medicine through improved understanding of protein function

Requirements

• PhD in Biochemistry, Structural Biology, Computational Biology, or a related field
• Experience with machine learning and deep learning techniques
• Strong background in protein structure and dynamics
• Excellent communication and collaboration skills

Qualifications

• Research experience in computational biology or related fields
• Ability to work independently and as part of a team
• Interest in interdisciplinary research

Skills

• Proficiency in programming languages such as Python, R, or MATLAB
• Knowledge of deep learning frameworks like TensorFlow, PyTorch, or Keras
• Experience with protein structure databases and tools
• Strong problem-solving and analytical skills

Benefits

• Competitive salary commensurate with experience
• Flexible working hours
• Professional development opportunities
• Access to state-of-the-art laboratory facilities

Pay

Salary is competitive and commensurate with experience.

Schedule

The position offers flexible working hours to accommodate research needs and personal commitments.

Benefits

• Health insurance
• Retirement plan contributions
• Employee assistance program

Contact

To apply, please submit your CV and a cover letter outlining your qualifications and interest in this position to [insert email address].