Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Sweden
- Netherlands
- Portugal
- Denmark
- Czech
- Spain
- Belgium
- Finland
- Italy
- Switzerland
- Austria
- Canada
- Norway
- Poland
- Singapore
- Australia
- United Arab Emirates
- Hong Kong
- Ireland
- Morocco
- Estonia
- Japan
- Romania
- Brazil
- Croatia
- Greece
- Luxembourg
- Saudi Arabia
- Taiwan
- 23 more »
- « less
-
Program
-
Field
-
include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
-
exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
-
multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
-
testing of breast milk for HIV nucleic acid; dissection of human placental tissue for isolation of primary cells, cytokine assays, and preparation for spatial transcriptomics; and development of 3D models
-
Scheduled Hours 40 Position Summary The Senior Scientist in the Cremins Lab will work with a dynamic team to conduct research in the area of the generation and analysis of new multimodal imaging
-
part of the Research Centre for Ecological Change (REC) , whose overreaching aim is to generate a coordinated analysis of the unique long-term ecological datasets collected in Finland to understand
-
, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
-
Appointment Term: one year, renewable Appointment Start Date: asap Group or Departmental Website: https://med.stanford.edu/kramsmartinezlabs.html (link is external) How to Submit Application Materials
-
from data from a multimodal sensor. Merging data from multimodal sensors located in different spatial positions: calibration and synchronization. Transforming fused data: sensor fusion and feature fusion
-
policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium