The MOLAS Lab has two open positions for undergraduate students who are strongly interested in gaining research experience in the field of systems neuroscience and who plan to pursue a graduate program.
Interested candidates feel free to reach via email susanna.molas@colorado.edu for more details!
The application deadline is December 30th, with an expected start date of January 2026.
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The Molas Lab is dedicated to uncovering the neural circuits and mechanisms that drive behavioral response to novel stimuli and shape adaptive learning through repeated experiences.
Our research employs a multidisciplinary approach, integrating advanced techniques such as circuit mapping, genetic tools for neuronal ensemble tagging, singe cell gene expression analysis, imaging, optogenetics, chemogenetics and machine learning tools for animal behavior annotation to provide deeper insights into brain function and behavior.
Multidisciplinary and Integrative Approach
Behavioral Annotation
We use supervised and unsupervised machine learning models for multi-pose animal estimation and behavioral classification.
Imaging Tools
We combine in vivo fiber photometry recordings and single-cell imaging time locked to behavioral events.
Neuronal Ensemble Tagging
We have established mouse models and genetic tools for neuronal ensemble tagging with effector genes, enabling the analysis of regional activation patterns through whole brain imaging.
Molecular Biology
We combine in situ RNA Scope, immunofluorescence and single cell spatial transcriptomics techniques to elucidate gene transcription patterns in selected neuronal populations.
Circuit Mapping
Through viral-mediated anterograde and retrograde tracing we define neuronal circuitry of selectively identified genetic populations.
Activity Manipulations
We use time-locked optogenetics and chemogenetics tools (DREADDs) to manipulate activity of genetically identified circuits and establish their role in behavioral domains.
Disease Models
Our research includes a translational perspective to elucidate neural circuit function in disease conditions.
