Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Tallinn University of Technology
- Swedish University of Agricultural Sciences
- Linköping University
- Nature Careers
- University of Bergen
- Wageningen University & Research
- Aalborg Universitet
- Aarhus University
- CNRS
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published today
- Empa
- FCiências.ID
- GFZ Helmholtz-Zentrum für Geoforschung
- Institut Pasteur
- Institute of Environmental Engineering
- KU LEUVEN
- Leiden University
- MASARYK UNIVERSITY
- Masaryk University - Faculty of Arts
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Science
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Universidade de Coimbra
- Universidade de Trás-os-Montes e Alto Douro
- Universitat Autonoma de Barcelona
- University of Exeter
- University of Groningen
- University of Utah
- 20 more »
- « less
-
Field
-
in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
-
for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
-
, developing spatial statistical models, and translating results into actionable insights for policy and adaptation. The strength of the project lies in its interdisciplinarity, combining atmospheric science
-
Organisation Job description Project description The PhD researcher will work in the project “Joint physical custody and parents’ spatial (im)mobility”, supervised by Roselinde van der Wiel (daily
-
the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
-
such as artificial intelligence, geographic information systems, and statistical methods. The researcher will be responsible for: Helping collect, organize, and ensure interoperability of clinical
-
, addressing key questions of coherence, entanglement, and other forms of non-classicality while developing practical free-space quantum links. Using spatial light modulators and adaptive optics, we will
-
inference and prediction of gas dynamics at high spatial and temporal resolution, and in turn more effective climate change mitigation, urban air quality management, and rapid response to hazardous releases
-
lack reliable uncertainty quantification. The methods developed in the project will tackle these shortcomings, enabling computationally efficient inference and prediction of gas dynamics at high spatial
-
applied questions such as environmental management and risk assessment. For more information on EnvStat, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics TWO