Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Portugal
- Sweden
- Netherlands
- Norway
- Singapore
- Spain
- Morocco
- Belgium
- Denmark
- Austria
- Finland
- Australia
- Italy
- Japan
- Switzerland
- Czech
- Poland
- China
- Ireland
- Canada
- Estonia
- Luxembourg
- Brazil
- Hong Kong
- Romania
- Cyprus
- United Arab Emirates
- Lithuania
- South Africa
- Vietnam
- Kyrgyzstan
- New Zealand
- Saudi Arabia
- Slovakia
- Slovenia
- Taiwan
- Worldwide
- Andorra
- Bangladesh
- Barbados
- Bulgaria
- Europe
- Greece
- Guadeloupe
- Iceland
- India
- Latvia
- Sao Tome and Principe
- 42 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Biology
- Environment
- Science
- Earth Sciences
- Materials Science
- Mathematics
- Chemistry
- Arts and Literature
- Business
- Education
- Social Sciences
- Psychology
- Humanities
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Law
- Design
- Physics
- 14 more »
- « less
-
Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
-
at the metropolitan scale • Integration of AI-based learning capabilities to refine all types of models studied • Consideration of environmental aspects in the comparative evaluation (positive impact and modal switch
-
30th April 2026 Languages English Norsk Bokmål English English PhD Fellow in Machine Learning Apply for this job See advertisement About us The Nansen Center is a Norwegian environmental research
-
science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
-
, sludge, and advanced treatment systems to support hybrid AI–mechanistic models for predicting contaminant fate and removal, and large-scale profiling of the human urinary exposome to uncover chemical
-
and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
-
of Environmental Engineering, ETH Zürich and matriculate in ETH Zürich. The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport
-
vacuum, but perceive it as a living organism existing in a dynamic environment of interconnected concepts, such as not only ESG (Environmental, Social, and Governance), but also the circular economy. The
-
of land management and environmental factors on land carbon and climate dynamics. Tasks and Responsibilities Develop and apply a first-order, spatially explicit model of the biophysical effects of land use
-
doctoral network (3 PhD students), which is dedicated to the study of the microbial exposome and persistent infections. It aims to understand how bacteria of environmental or zoonotic origin interact with