Postdoctoral Neuroscience Fellow: Learning & Spatial Navigation

UTHealth Houston; Houston (TX); Presencial; USD 55.000 - 75.000; Jornada completa

Descripción de la vacante

UTHealth Houston is seeking a highly motivated neuroscientist as a postdoctoral fellow to investigate neural circuit mechanisms underlying learning, memory, and spatial navigation. The candidate will lead projects integrating in vivo neural recording, behavioral experimentation, and computational analysis to understand how neural activity drives learning and behavior.

The role involves designing experiments, developing behavioral environments, acquiring and analyzing complex datasets, presenting

Formación

• PhD in neuroscience or closely related field.
• Strong background in systems/behavioral neuroscience.
• Experience with neural recording/imaging in animals.

Responsabilidades

• Designs and conducts independent and collaborative projects in consultation with the PI.
• Performs systems and behavioral neuroscience experiments using approaches such as in vivo calcium imaging and/or electrophysiology in freely behaving mice, quantitative behavioral assays, and computational analysis.
• Designs, builds, and validates behavioral environments and research tools for spatial learning, navigation, and memory studies.
• Analyses neural population activity and its relation to behavior, developing computational workflows for data processing and visualization.
• Mentions findings at meetings, prepares manuscripts for publication, and collaborates with interdisciplinary teams.

Conocimientos

Systems Neuroscience

Behavioral Neuroscience

Neural Recording

In Vivo Imaging

Data Analysis

Computational Analysis

Educación

PhD in Neuroscience

Herramientas

In Vivo Calcium Imaging

Electrophysiology

Mouse Models

Descripción del empleo

UTHealth Houston is seeking a highly motivated neuroscientist as a postdoctoral fellow to investigate neural circuit mechanisms underlying learning, memory, and spatial navigation. The candidate will lead projects integrating in vivo neural recording, behavioral experimentation, and computational analysis to understand how neural activity drives learning and behavior.

The role involves designing experiments, developing behavioral environments, acquiring and analyzing complex datasets, presenting