Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Sweden
- Germany
- Netherlands
- Canada
- Finland
- Mexico
- Portugal
- South Africa
- Austria
- Belgium
- India
- Australia
- Singapore
- Switzerland
- Denmark
- Spain
- United Arab Emirates
- Czech Republic
- Estonia
- Ireland
- Italy
- Luxembourg
- Norway
- Brazil
- Hong Kong
- Japan
- Romania
- Saudi Arabia
- 21 more »
- « less
-
Program
-
Field
-
data analysis and algorithm development designed to determine the underlying factors contributing to health and disease, with a strong focus on discovering disease mechanisms at the level of their
-
Alzheimer's disease. Apply and optimize advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and
-
mass spectrometer. In parallel, you will lead the development and application of mass spectrometry-based spatial phosphoproteomics workflows for the analysis of formalin-fixed paraffin-embedded (FFPE
-
quantitative microbial risk assessment (QMRA), while supporting additional projects involving spatial analysis of environmental hazards and health risks. The scholar will work collaboratively with faculty
-
of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology are encouraged to apply. The postdoctoral researcher
-
University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 10 hours ago
, supported by extramural funding. · Develop novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. · Engage in undergraduate, graduate, and
-
Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en
-
support for the analysis of a large-scale spatial transcriptomics dataset generated from longitudinal glioblastoma (GBM) samples. The postholder will refine and apply analytical pipelines to enable
-
computational pipelines for the analysis of high-dimensional genomic and spatial-omics datasets. The successful candidate will work closely with experimental scientists to analyze complex biological
-
projects involving bioinformatics analysis of single-cell genomics and spatial transcriptomics data with the aim to improve the understanding of the development and function of specific neural cell