Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- 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
- New York University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Science
- Tallinn University of Technology
- Technical University of Munich
- UNIVERSIDAD POLITECNICA DE MADRID
- 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
- VIB
- 23 more »
- « less
-
Field
-
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
-
followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your PhD will be awarded from Wageningen University and you will become a member of the ‘Urban Systems
-
analysing ecological, chemical and spatial datasets, quantifying trace elements and persistent organic pollutants (POPs) using techniques such as AMA, ICP-MS and GC-MS, and conducting stable isotope analysis
-
or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
-based, spatially-explicit dynamic forest model to predict future fire resilience of Amazon forests. Your duties and responsibilities include: Leading field campaigns, and being willing to spend long
-
5D assessment of the spectrum (i.e., frequency, time, and 3D spatial measurement). The data acquisition system will coherently measure spectrum emitters in aerial or terrestrial wideband settings
-
focus. Example learning problems include exposome and dynamic exposome modeling, learning in timeseries and spatial data, and hybrid deep learning-causal modeling. The successful applicant should have
-
requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport