Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- CNRS
- Delft University of Technology (TU Delft); Published today
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
- KU Leuven
- Leibniz
- Loughborough University
- Manchester Metropolitan University
- University of Basel
- University of Birmingham
- University of Exeter;
- Vrije Universiteit Brussel
- Aalborg University
- Aarhus University
- Cranfield University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Edinburgh Napier University;
- FCiências.ID
- Faculty of Science, Charles University
- Fraunhofer-Gesellschaft
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto Superior Técnico
- Instituto Superior de Agronomia
- Instituto Superior de Economia e Gestão
- Loughborough University;
- Manchester Metropolitan University;
- Nature Careers
- New York University
- Norwegian University of Life Sciences (NMBU)
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Technical University of Munich
- Temple University
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITE LE HAVRE NORMANDIE
- Universitat Rovira i Virgili
- University of Bergen
- University of Birmingham;
- University of Copenhagen
- University of East Anglia;
- University of Exeter
- University of Göttingen •
- University of Münster •
- University of Plymouth
- University of Plymouth;
- Università degli Studi di Brescia
- Université Catholique de Louvain (UCL)
- Uniwersytet Warszawski
- Utrecht University
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 42 more »
- « less
-
Field
-
/or GIS softwares, and good communications skills with fluency in written English. Place of work: Alnarp Forms for funding or employment: PhD employment, 4 years Starting date: March 2026 or according
-
., 1st March 2026). Specific Requirements Solid practical experience with GIS (e.g., QGIS, ArcGIS), including spatial data processing and visualization; Experience with data analysis using Python, Matlab
-
/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
-
with process based erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative
-
(quantitative, qualitative, modelling, GIS, etc.). Produce and share research outputs such as: articles and preprints, demonstrators or prototypes, documented datasets and, where possible, open data, a scientific
-
objectives (e.g. geography, biology, epidemiology and public health). The person recruited will have competence in statistical analysis and GIS, experience or at least interest in carrying out field work and
-
analysis: Applying geospatial methods (GIS mapping, geographically weighted regression, spatial clustering) and temporal approaches (time-series analysis, distributed lag models, case-crossover designs
-
for NCDs. This will involve: Spatial analysis: Mapping and modelling environmental exposures at fine spatial resolution using GIS tools, geographically weighted regression, and spatial clustering techniques
-
, and community resilience across vulnerable deltas. We welcome applicants with quantitative aptitude and curiosity about rivers, hazards, and sustainability (training provided in GIS, coding, and
-
monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools