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Seeking a Postdoctoral Researcher at Brain Image Analysis Unit (26-823)

Neuroscience, Computational Neuroscience and Brain Imaging fixed-term research appointment at RIKEN

Deadline not stated
Wako, Saitama, Japan · On-site

About

The Brain Image Analysis Unit at the RIKEN Center for Brain Science seeks a postdoctoral researcher to develop deep-learning methods for large-scale microscopy and MRI of the marmoset brain within Brain/MINDS 2.0. The programme combines two-photon and bright-field microscopy, spatial transcriptomics, anterograde tracing and diffusion MRI into a whole-brain multimodal atlas. Research topics include neuron and axon tracing in dense 3D data, generative models for synthetic tracing ground truth, images exceeding GPU memory, cross-modal image registration, biomedical foundation models, and diffusion-MRI tractography validated against same-animal tracer data.

Biomedical image-analysis experience is beneficial but is not mandatory. The role is based at Wako.

Requirements

Candidates should hold, or are expected to obtain a Ph.D. degree by the date of employment in a field related to our research focus, such as computer science, biomedical engineering, or a closely related discipline. We expect a demonstrated proficiency in developing deep learning techniques for image analysis/processing, evidenced by publications in reputable peer-reviewed journals or major conferences in relevant fields. Additional expertise in areas like neuron tracing or curve/tree reconstruction, probabilistic modeling and Bayesian inference, diffusion MRI / tractography, biological/medical/neural image processing, image registration, computer vision, machine learning, optimization, and large-scale or out-of-core processing of 3D image data will be considered a significant asset.
A level of English sufficient for academic writing and verbal communication is required. Candidates should also be proficient in programming, preferably with experience in Python or a similar language at an advanced level, ideally including experience with deep-learning frameworks such as PyTorch or TensorFlow. We value the ability to collaborate effectively in a multidisciplinary team, combining strong technical and interpersonal skills.

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Source: riken.jp

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