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
-
hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and
-
preferred) Experience with processing and analysing remotely sensed data Experience with GIS and spatial data analytical techniques Experience with carrying out fieldwork in related fields (e.g. Geography
-
: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
-
spreads in natural waters. Training will cover microbial genomics, evolution assays, GIS, and advanced statistics, alongside transferable skills in interdisciplinary collaboration and science communication
-
, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work
-
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, Python, C etc. Field work
-
methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills
-
and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
-
across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial analysis of perception data using digital and GIS tools; 2. Intergroup Perception and Interaction
-
GIS technology are highly recommended. Database: The successful candidate will contribute to our project database. Specific Requirements You will perform field work in European archives and on