Postdoc: Physics & Statistical Modeling in Molecular Biology

The Pennsylvania State University

Ferguson Township (PA)

On-site

USD 55,000 - 75,000

Full time

14 days+
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Job summary

The Pennsylvania State University in University Park seeks a Postdoctoral Scholar to apply physics-based methods to molecular biology problems within NCEMS. This term, on-site position emphasizes collaboration across physics, biology, and data science to drive quantitative modeling and data-driven insights.

The successful candidate will develop and apply analytical or computational models, publish in peer-reviewed journals, and participate in a vibrant synthesis-science environment within Huck

Qualifications

  • PhD in physics or biological physics required.
  • Strong foundation in statistical mechanics, stochastic processes, dynamical systems or related quantitative methods.
  • Experience in developing and implementing analytical or computational models.
  • Ability to publish scholarly outputs in peer-reviewed journals.
  • Familiarity with molecular biology concepts such as protein interactions and cellular networks.

Responsibilities

  • Conduct research applying physics-based methods to molecular biology and data science goals.
  • Collaborate with NCEMS faculty to develop quantitative models.
  • Contribute to publications and presentations.
  • Engage in a highly collaborative synthesis-science environment.

Skills

Statistical mechanics
Stochastic processes
Dynamical systems
Complex systems
Analytical modeling
Computational simulations
Molecular biology concepts

Education

PhD in Physics or Biological Physics

Job description

The Pennsylvania State University in University Park seeks a Postdoctoral Scholar to apply physics-based methods to molecular biology problems within NCEMS. This term, on-site position emphasizes collaboration across physics, biology, and data science to drive quantitative modeling and data-driven insights.

The successful candidate will develop and apply analytical or computational models, publish in peer-reviewed journals, and participate in a vibrant synthesis-science environment within Huck

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