Topic: spatial transcriptomics

Analyze gene expression within tissue using imaging-based and sequencing-based spatial transcriptomics. Guided R/Bioconductor labs cover cell segmentation, quality control, interactive exploration and integration with single-cell datasets. Downstream analyses characterize cellular niches, neighbourhoods and cell–cell communication. The course concludes with project design and a team hackathon using participant or public data, connecting computational outputs to biological interpretation. 2026-12-14–2026-12-18, 14:00–18:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €530. Designe

Map brain cell types and disease-related changes using high-throughput spatial transcriptomics on human tissue. Run MERFISH+ imaging workflows, perform quality control and primary image analysis, organize experiment metadata, maintain instruments and improve protocols in the Brain Health accelerator. The annualized salary range is USD 77,150–94,550. Work is primarily onsite at 615 Westlake Avenue North, Seattle, during weekday business hours.

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 diffusio

Join the Hadjab laboratory to investigate chronic pain and headache using single-cell RNA and chromatin-accessibility data, spatial transcriptomics and integration across datasets. The scholarship supports postdoctoral research in Solna, connecting computational methods with molecular and cellular neuroscience. The award is intended for eligible researchers coming from outside Sweden and is tax-exempt; no amount is advertised. Scholarships are normally set for twelve months at a time, up to two years. Apply by 26 October 2026.

Analyse bulk, single-cell and spatial transcriptomics alongside chromatin, CRISPR and proteomics datasets to support oncology target discovery. The scientist will build reproducible analysis workflows, integrate evidence across experiments and collaborate with laboratory researchers on target validation. The advertised salary range is USD 142,000–171,150. Applications are available on the employer’s Greenhouse page; no fixed deadline is stated.

The precise spatial localization of molecular signals within tissues richly informs the mechanisms of tissue formation and function. Here, we’ll introduce Slide-seq, a technology which enables transcriptome-wide measurements with near-single cell spatial resolution. We’ll describe recent experimental and computational advances to enable Slide-seq in biological contexts in biological contexts where high detection sensitivity is important. More broadly, we’ll discuss the promise and challenges of spatial transcriptomics for tissue genomics. Lastly, we’ll touch upon novel molecular recording tech

Emerging genetic studies of late-onset Alzheimer’s Disease implicate the brain’s resident macrophages in the pathogenesis of AD. More than half the risk genes associated with late-onset AD are selectively expressed in microglia and peripheral myeloid cells; yet we know little about the underlying biology or how myeloid cells contribute to AD pathogenesis. Using single-cell RNA sequencing and spatial transcriptomics we identified molecular signatures that can be used to localize and monitor distinct microglia functional states in the human and mouse brain. Our results show that microglia assume