Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Netherlands
- Portugal
- Denmark
- Spain
- Belgium
- Austria
- Czech
- Finland
- Poland
- Italy
- Switzerland
- Australia
- Canada
- Norway
- Ireland
- Morocco
- Singapore
- United Arab Emirates
- Hong Kong
- Romania
- Greece
- Japan
- Luxembourg
- New Zealand
- Saudi Arabia
- Taiwan
- 21 more »
- « less
-
Program
-
Field
-
; identification of data with significant geographic granularity suitable for use according to the developed spatial analysis methodology. In quantifying the impacts of climate change on the economic and human
-
Engineering is seeking an employee in the field of remote sensing, geographic information systems and spatial planning with a desire to improve his/ her professional qualifications in the field of geographic
-
the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
-
turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
-
candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker
-
dashboards that support TASKAR Center for Accessibility (TCAT) and the Transportation Data Exchange’s public-facing and internal initiatives. This role is central to transforming complex spatial datasets
-
applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
-
the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
-
workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
-
Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We