Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
-
technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work
-
to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
-
on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date : May 1st 2026
-
UnitedKingdomTime (posted 2026/02/26 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Academic Job Description Department of Animal Science Research Associate – Livestock Spatial Modeler
-
set a course for the future – a future that you can help to shape. PhD Position: Spatial Omics Meets Neurodegeneration — Mapping Therapeutic Targets in Charcot-Marie-Tooth Neuropathy Position How do you
-
-85,800/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
-
, voids, delamination, corrosion, and internal structural discontinuities. The PhD candidate will investigate Vision Language Models (VLMs), Multi-modal AI solutions, and 3D scene reasoning approaches
-
at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our