This job has expired

Postdoctoral Fellow - Computational Modeling

Boston University School of Medicine
Boston, Massachusetts
Competitive salary will be offered based on experience
Closing date
Oct 12, 2021

View more

You need to sign in or create an account to save a job.

Title:  Computational Modeling, Boston University School of Medicine: Luebke Lab, Dept. of Anatomy & Neurobiology

The Luebke & Medalla labs (Dept. of Anatomy & Neurobiology, Boston University School of Medicine) use state-of-the-art approaches in imaging, immunohistochemistry, electrophysiology, and computational modeling to explore neural mechanisms underlying executive function in the mammalian prefrontal cortex.  We seek highly motivated, detail-oriented postdoctoral research fellows to join our interdisciplinary team related to several exciting, federally funded projects.  One project, led jointly by Dr. Jennifer Luebke, Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY), aims to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkeys.  We seek candidates with experience building differential equations-based mathematical models using MATLAB, Python, and/or NEURON compartmental modeling software.  Experience with conductance-based modeling of single neurons or excitatory-inhibitory networks preferred.  The successful candidate will build computational models to explore mechanisms of network dysfunction, constrained by our data from aging studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare.  The appointment as a Boston University School of Medicine research fellow will be for at least 1 year with the possibility for extension based on performance.  Competitive salary based on experience.

Contact:  Dr. Christina Weaver, 

You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert