Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Netherlands
- Portugal
- Norway
- Belgium
- Czech
- Denmark
- Switzerland
- Canada
- Spain
- Austria
- Finland
- Australia
- Singapore
- Hong Kong
- Estonia
- Morocco
- Poland
- Italy
- United Arab Emirates
- Japan
- Luxembourg
- Ireland
- Romania
- Brazil
- China
- Cyprus
- Lithuania
- Macau
- Slovakia
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Mathematics
- Science
- Engineering
- Earth Sciences
- Environment
- Social Sciences
- Arts and Literature
- Humanities
- Materials Science
- Business
- Design
- Education
- Electrical Engineering
- Linguistics
- Chemistry
- Sports and Recreation
- Law
- Physics
- Psychology
- 13 more »
- « less
-
; environmental exposures and resilience to heat, flooding, and pollution in cities; geography of emerging diseases; health co-benefits from urban sustainability transitions; GIS, spatial modeling, and data-driven
-
The Research and Development Specialistwill be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz
-
are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
-
. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
-
. The project will construct the first-ever Spatial Integrated Assessment Model of the global water cycle. Combined with global spatial data on economic activity, water usage, and atmospheric evaporation
-
statistical models. Within the Polarity, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
metadata documentation Manage geospatial datasets and version control systems (e.g. ArcGIS Online, Git, or QGIS project files). Spatial Analysis and Modelling Use GIS software (e.g. ArcGIS, QGIS) and/or
-
technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work
-
. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational