16 results
Three-year training and development position in Dr Greg Jefferis's group in the Neurobiology Division of the MRC Laboratory of Molecular Biology, within a programme on molecular connectomics in Drosophila. The programme develops methods to map neuronal gene and protein expression onto reference electron microscopy connectomes and uses them to study the…
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The Department of Neuroscience at Yale University is hiring tenure-track faculty with interests in computational or theoretical neuroscience, including candidates who use computational methods, machine learning and AI to link models with experimental data across neural activity analysis, network modelling, imaging, bioinformatics and molecular modelling.…
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Develop pretrained models of functional, diffusion and structural MRI that predict individual cognition with calibrated uncertainty. The ANR-funded MIND–GIN Bordeaux collaboration combines preprocessing and harmonization of large datasets, generative and self-supervised models, and transfer to smaller cognitive-neuroscience studies. The doctorate will…
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Support computational studies of why individuals differ in normal brain ageing. The technical role analyses large biological datasets, including single-cell genomic and transcriptomic measurements.
The Neural Dynamics accelerator at the Allen Institute studies how the brain generates flexible behavior. Reporting to the Institute's President and CEO, the Executive Vice President and Co-Director co-leads its scientific vision and long-range strategic plan and is the single point of accountability for people, administration and operations. The research…
The Sternson Lab at the University of California, San Diego studies how neural circuits control appetite and motivated behavior. Its CaRMA imaging framework links large-scale measurements of neural activity in behaving mice to post hoc molecular identification of the same recorded neurons, combining in vivo two-photon calcium imaging with spatial…
The Neuroscience Institute at Carnegie Mellon University is recruiting a tenure-track Assistant Professor working at the intersection of neuroscience and artificial intelligence, with a substantive connection to neuroscience through data, theory or modelling. Example topics include generative models of brain data, AI-based analysis tools for neural activity…
Develop machine-learning methods for quantitative neuropathology within the Brain Health initiative. Integrate histology, spatial molecular data, MRI and clinical information to investigate brain-disease mechanisms and progression. The role includes computer-vision models, multimodal learning, Bayesian and causal models, scientific collaboration and open…
Develop scalable machine-learning methods and infrastructure for the Brain Health initiative. Integrate digital histology, spatial transcriptomics, MRI and clinical data to model brain-disease progression at cellular resolution. Responsibilities include foundation models, distributed training, robust data pipelines and open-source scientific tools. This…
Investigate the computational principles of dreaming in Louis Kang’s Neural Circuits and Computations Unit at RIKEN Center for Brain Science. Research combines biological neural-network models, machine learning and neural-data analysis, addressing how circuits generate dreams, what dream computations contribute to biological systems, and whether they can…
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…
Lead image processing and analysis of large-scale electron-microscopy datasets in the Allen Institute Brain Science accelerator. Scale high-throughput pipelines toward whole-mouse-brain datasets, oversee automated two-dimensional stitching and three-dimensional alignment, and integrate connectomics with molecular and physiological cell-type measurements.…
Lead multimodal analysis of mammalian neuromodulatory cell types within the Allen Institute Neural Dynamics accelerator. The project integrates single-cell transcriptomics, reconstructed neuronal morphology, input/output connectivity, and in vitro and in vivo physiology to understand how molecular, structural and functional properties define cell types. The…
Build scalable computational pipelines for biophysical models of neurons and neural populations. Apply machine learning and statistical inference to neural recordings, construct biologically realistic networks and help shape research directions at an early-stage company working at the intersection of neuroscience and computation. On-site engagement is…
Full-time, tenure-track faculty appointment at assistant, associate or full professor rank in the Department of Neuroscience. The search spans molecular and cellular neuroscience, glial biology, addiction, computational and data neuroscience, neurodegeneration, CNS injury, neuroimmunology, and sensory, motor and cognitive systems. Successful applicants will…
The Allen Institute for Brain Science is recruiting a Scientist I to develop scalable synapse-proteomics approaches and reveal how molecular organization shapes synapse physiology and circuit connectivity. The role combines experimental proteomics, large-scale multimodal data integration, computational and statistical analysis, and collaborative…
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