Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Hong Kong Polytechnic University
- Swedish University of Agricultural Sciences
- DAAD
- Faculty of Science, Charles University
- Forschungszentrum Jülich
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Instituto Superior de Agronomia
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Tallinn University of Technology
- University of Exeter
- University of Göttingen •
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- CNRS
- Hellenic Centre for Marine Research
- Inria, the French national research institute for the digital sciences
- Institute of Geography, Slovak Academy of Sciences
- KU LEUVEN
- Max Planck Institute for Biogeochemistry •
- NORCE Norwegian Research Centre
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Swedish University of Agricultural Science
- Technical University of Munich
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- Umeå University
- University of Bremen •
- University of Strathclyde (UOS)
- University of Vienna
- Université Gustave Eiffel
- Utrecht University
- Wetsus - European centre of excellence for sustainable water technology
- 24 more »
- « less
-
Field
-
, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
-
(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
-
its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
-
NORCE is a leading research institute in Earth observation and remote sensing, with a strong track record in developing operational SAR and InSAR systems. Our Earth Observation (EO) Group, appointed as an
-
seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
-
of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a
-
knowledge of German • Full endorsement of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https
-
are rapidly evolving – ranging from remote sensing and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured
-
: Biodiversity is a fundamental prerequisite for the ecological functioning, resilience, and long-term sustainability of forests. At the same time, new methods are rapidly evolving – ranging from remote sensing
-
combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence