Company:  Confidential

Job Title: Postdoc Positions in Neuroscience, Connectomics, and Multi-omics

Job Number: 65007

Location: Baltimore, US

Job Description

We seek postdoctoral fellows to join the Kebschull Lab at Johns Hopkins School of Medicine. These fully funded positions are flexible in scope but centered on the development of new viral and sequencing-based neuroanatomical tools to map-single cell or multi-synaptic connectivity in mice and other model systems (NHPs, songbirds, reptiles, amphibians), and on the application of these tools to answer questions in systems neuroscience and neurodegenerative disease, including Alzheimer’s and cerebellar ataxias.

The mission of the Kebschull Lab is to understand the structure and function of the vertebrate brain, how it evolves, and how it is disrupted in neurological diseases. To achieve this, we develop advanced spatial transcriptomics and next-generation sequencing-based connectomics methods to explore the fundamental questions in vertebrate brain organization and the multi-omic changes to brain circuits resulting from drug use and neurodegeneration. Recent methods we developed include MAPseq, BRICseq, and BARseq, and relevant papers include Kebschull et al. 2020 Science, Huang et al. 2020 Cell, Han et al. 2018 Nature, and Kebschull et al. 2016 Neuron.

Candidates must hold a Ph.D. degree (or equivalent) and have relevant experience in neuroscience, molecular biology, omics, or related fields. Strong neuroscience, molecular biology, and/or bioinformatics skills are required, and a passion for developing new tools and understanding brain circuits is essential. We strongly encourage applications from underrepresented or minority groups. At the Kebschull Lab, we are dedicated to creating a diverse and inclusive environment that nurtures creativity and stimulates scientific discovery.

To apply, please email your CV, a cover letter describing your current research interests and future objectives, and the contact information for three references to Dr. Kebschull.

Application Deadline: 2023-11-30


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