Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- The Ohio State University
- Pennsylvania State University
- The University of Arizona
- Cornell University
- Stanford University
- University of Sydney
- University College Cork
- University of California
- Aalborg University
- Aarhus University
- Baylor College of Medicine
- CNRS
- Delft University of Technology (TU Delft)
- Duke University
- Iowa State University
- Lunds universitet
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Swedish University of Agricultural Sciences
- UNIVERSITY OF VIENNA
- University of California Los Angeles
- University of Lund
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- Yale University
- Argonne
- Atlantic Technological University;
- EPFL
- Empa
- FAPESP - São Paulo Research Foundation
- Florida Gulf Coast University
- Forest Science and Technology Centre of Catalonia
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Association of German Research Centres
- Human Technopole
- Institute for bioengineering of Catalonia, IBEC
- King's College London
- McGill University
- Michigan State University
- National Energy Technology Laboratory (NETL)
- Princeton University
- Purdue University
- Rutgers University
- Saint Louis University
- Stony Brook University
- TTI
- Technical University of Munich
- Texas A&M AgriLife
- Umeå University
- University of Arkansas
- University of California Irvine
- University of California, Berkeley
- University of California, Los Angeles
- University of Colorado
- University of Florida
- University of Idaho
- University of Massachusetts Chan Medical School
- University of Oslo
- University of Oxford;
- University of Texas at Arlington
- University of Vermont
- University of Virginia
- University of Washington
- Universitätsklinikum Hamburg-Eppendorf
- Université de Bordeaux / University of Bordeaux
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 58 more »
- « less
-
Field
-
well as collaborative work on the high-resolution structure of the podocyte slit diaphragm. The Oxford Kidney Pathology (Bull) Group have an interest in structurally informed analysis of kidney spatial transcriptomics
-
statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence
-
, precision oncology, biomarker discovery, and translational cancer biology using cutting-edge computational, statistical, and multi-omics approaches. The Postdoctoral Scholar must be an expert communicator
-
cancer progression in the West lab in the Department of Pathology at Stanford. Successful candidates will use a combination of spatial transcriptomics and highly multiplexed imaging to understand how
-
skills required. A strong quantitative background in statistics and/or spatial analysis. Experience with large publicly available datasets To apply, please submit the following materials: CV Cover letter
-
, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoc is expected to collaborate closely with experimental
-
technologies. Key areas of research include the spatial and temporal diffusion of protest, the impact of censorship on political attitudes, public perceptions of human rights and security, and the strategic use
-
, and validate machine learning and statistical models for health risk prediction; Analyse heterogeneous health-related datasets, including clinical, longitudinal, environmental, demographic
-
, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
-
, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and molecular analyses. The candidate will summarize research data