Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Swedish University of Agricultural Sciences
- University of Groningen
- CNRS
- Manchester Metropolitan University;
- Sveriges Lantbruksuniversitet
- Delft University of Technology (TU Delft); Published today
- Faculty of Science, Charles University
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
- KU Leuven
- Leibniz
- Loughborough 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
- 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;
- Nature Careers
- New York University
- Norwegian University of Life Sciences (NMBU)
- Technical University of Munich
- Temple University
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITE LE HAVRE NORMANDIE
- Universitat Rovira i Virgili
- 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
- 39 more »
- « less
-
Field
-
escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
-
command of English; very good Spanish, Dutch (or German) and ideally also French language skills will be necessary to be able to read your sources. Basic skills in IT and GIS technology are highly
-
process, (5) develop a visualisation dashboard or interactive GIS application to support stakeholder engagement and policy translation. Further flexibility is offered by focusing on geohazards of personal
-
-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training
-
Forest ecology and management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R
-
/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
-
and development. Drivers license is a necessity for the work duties. Beneficial qualifications are experience of forestry analytics, using preferably R programming language and/or GIS softwares, and
-
/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
-
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