Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Sweden
- Germany
- Portugal
- Belgium
- Netherlands
- Spain
- Switzerland
- Czech
- Norway
- Italy
- Canada
- Denmark
- Finland
- Poland
- Australia
- Austria
- Estonia
- Singapore
- Hong Kong
- Japan
- Luxembourg
- Brazil
- United Arab Emirates
- Ireland
- Romania
- Croatia
- Iceland
- India
- Morocco
- Slovenia
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Mathematics
- Science
- Engineering
- Earth Sciences
- Environment
- Social Sciences
- Materials Science
- Arts and Literature
- Humanities
- Business
- Chemistry
- Linguistics
- Education
- Electrical Engineering
- Law
- Physics
- Psychology
- Sports and Recreation
- 12 more »
- « less
-
-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
-
of automatic recognition). Candidates should consult the DGES portal for more information at https://www.dges.gov.pt/en . All requests for automatic or level recognition made to the University of Coimbra (UC
-
Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
-
group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
-
, and emerging AI-supported methods for analysis and discovery. Build reproducible, scalable workflows for data transformation, modeling, and long-term archiving. Support version-controlled collaborative
-
Texas and the Gulf Coast region. Experience with geospatial analysis and spatial database management, and related tools and languages (e.g., GDAL; PostgreSQL/PostGIS). Responsibilities Data Strategy and
-
platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex biological
-
of phototrophs to environmental change Developing quantitative tools for the analysis of plant microbiome systems data, including but not limited to, machine learning, metabolic modeling (e.g. flux-balance models
-
, including panel design and data analysis o Spatial biology methods o Experience studying adaptive immunity, e.g. in the context of vaccine development, cancer immunity, neuroimmunity, or autoimmunity
-
visualization and creation of maps. Editing of existing maps and the use of ArcGIS software for spatial data analysis is included in the introductory course. Special Assignments May be required to perform other