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PhD Candidate in Neuroscience: Brain Architecture and Sensory Processing in the Zebrafish Forebrain

NTNU SENTRALADMINISTRASJONEN

Noruega📅 1/10/2026

Descripción

This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position We are looking for a highly motivated PhD Candidate to join our research group and investigate the neural architecture underlying sensory processing in the zebrafish forebrain. This project will employ a powerful combination of cutting-edge imaging and computational approaches to reveal how the structural organization of brain circuits shapes sensory computation. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be Professor Emre Yaksi. About the project The successful candidate will be part of the Yaksi lab at the Kavli Institute for Systems Neuroscience, NTNU, under the mentorship of Professor Emre Yaksi. This project aims to unravel how brain architecture shapes sensory processing in the zebrafish forebrain. Using zebrafish as a powerful vertebrate model organism — owing to their optical transparency, genetic tractability, and conserved vertebrate neural organization — the successful candidate will integrate multiple high-resolution imaging modalities to reconstruct neural circuits at unprecedented resolution and link structural organization to functional sensory responses. Specifically, the project will pursue the following interconnected aims: 3D Electron Microscopy Reconstructions: Reconstruct and analyze large-scale, high-resolution ultra
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