[Careers, Training, Awards and Funding] Faculty and Other positions

Postdoctoral research positions at Stanford University

NIH funded positions are available for Ph.D. or M.D with expertise in molecular biology, cell biology, and mouse genetics, to join our laboratory at the Department of Biology in Stanford University. In the lab, we applies multidisciplinary approaches, including genetic-based, circuit-specific manipulation, large-scale recording and imaging methods to study neural circuits underlying pain and addiction (https://www.xiaokechenlab.com). Over the past few years, we identified several key nodes in the neural network that control the transition from acute pain to chronic pain, from recreational drug use to addiction. We revealed robust synaptic or intrinsic plasticity in neurons of these nodes after injury or drug exposure, and demonstrated that restoring normal function of these neurons can reduce pain or prevent relapse. We are currently seeking postdoc candidates who have a strong interest in examining molecular mechanisms that drives plasticity in neural circuits. Experiences on single cell sequencing and making virus vector (AAV, lentivirus) are desirable. Our lab will provide excellent training on in vivo electrophysiology and imaging. It is excellent opportunity to work with molecular neurobiology and bioengineer in one of the best neuroscience communities in the world. Please send a research interest, curriculum vitae, and contact information of three referees to Xiaoke Chen (xkchen@stanford.edu).

Reference:

  1. Keyes PC, Adams EL, Chen ZJ, Bi LL, Nachtrab G, Wang VJ, Tessier-Lavigen M, Zhu YJ, Chen XK. (2020) Orchestrating Opiate-Associated Memories in Thalamic Circuits. Neuron; 107 (6), 1-11.
  2. Zhu YJ, Nachtrab G, Keyes PC, Allen WE, Luo LQ, Chen XK. (2018) Dynamic salience processing in paraventricular thalamus gated associative learning. Science; 362(6413): 423-9
  3. Zhu YJ, Wienecke CFR, Nachtrab G, Chen XK. (2016) A thalamic input to the nucleus accumbens mediates opiate dependence. Nature; 530(7589): 219-22.
  4. Ran C, Hoon MA, Chen XK. (2016) The coding of cutaneous temperature in the spinal cord. Nat Neurosci; 19(9): 1201-9.

 

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