Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Stony Brook University
- UNIVERSITY OF HELSINKI
- ;
- Princeton University
- University of Oxford
- Yale University
- Argonne
- Leibniz
- The Ohio State University
- University of Oregon
- Pennsylvania State University
- SciLifeLab
- Technical University of Denmark
- University of Groningen
- VIB
- Duke University
- Harvard University
- KINGS COLLEGE LONDON
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- Technical University of Munich
- University of Antwerp
- University of London
- University of Lund
- University of Minnesota
- University of Oslo
- University of Southern Denmark
- University of Texas at Austin
- University of Washington
- Virginia Tech
- Wageningen University and Research Center
- Aarhus University
- Baylor College of Medicine
- Brookhaven Lab
- Case Western Reserve University
- Chalmers University of Technology
- Cornell University
- Durham University
- East Carolina University
- Escola Superior de Agricultura Luiz de Queiroz/ESALQ/USP
- Florida Gulf Coast University
- Florida International University
- Fraunhofer-Gesellschaft
- Heidelberg University
- Indiana University
- Institut Pasteur
- Kentucky State University
- King Abdullah University of Science and Technology
- King's College London
- Leiden University
- Linnaeus University
- MAYNOOTH UNIVERSITY
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute of Biochemistry, Martinsried
- Medical College of Wisconsin
- New York University
- Oak Ridge National Laboratory
- Pacific Institute for the Mathematical Sciences
- Purdue University
- SUNY University at Buffalo
- Syracuse University
- Texas A&M University
- The University of Arizona
- The University of Memphis
- University of British Columbia
- University of California
- University of California Irvine
- University of California Los Angeles
- University of California, Los Angeles
- University of Cambridge
- University of Delaware
- University of Glasgow
- University of Idaho
- University of Maryland
- University of Michigan
- University of Minnesota Twin Cities
- University of North Carolina at Chapel Hill
- University of Saskatchewan
- University of Southern California
- University of Southern California (USC)
- University of Southern Mississippi
- Utrecht University
- Washington University in St. Louis
- William and Mary
- 77 more »
- « less
-
Field
-
) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
-
This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
-
one or more of the following areas: Bioinformatics, Gene-expression analysis, Single-cell RNA-sequencing, and Spatial Transcriptomics. It is most important that you possess bioinformatics/computational
-
statistical and spatial analysis. Skills in conceptualization, design, and production of complex data visualizations to clearly communicate analytic findings. Strong critical thinking, analytical, problem
-
diversity and dynamics of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models
-
at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
-
in spatial equilibrium modeling (e.g., through coursework, dissertation work, or previous projects) experience with spatial data analysis using GIS tools or spatial libraries and familiarity with
-
at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
-
technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
-
microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches