Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Utrecht University
- ;
- Nature Careers
- University of Groningen
- Wageningen University and Research Center
- Chalmers University of Technology
- Heidelberg University
- SciLifeLab
- ; Swansea University
- DAAD
- Ghent University
- Institut Pasteur
- Leibniz
- Monash University
- Technical University of Munich
- Temple University
- University of Antwerp
- VIB
- Vrije Universiteit Brussel
- ; University of Birmingham
- ; University of Cambridge
- ; University of Reading
- Duke University
- Ecole Polytechnique Federale de Lausanne
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- McGill University
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- The Ohio State University
- University of Adelaide
- University of California, Berkeley
- University of Copenhagen
- University of Lund
- University of Oxford
- University of Pittsburgh
- University of Southern Denmark
- WIAS Berlin
- 29 more »
- « less
-
Field
-
campaign. Using the Silencio app, noise dosimetry and community workshops, you will collect and analyse spatial–temporal datasets, link exposure to EU health indicators and co-produce a Local Area Noise
-
spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
-
environment. Our research facilities include modern laboratories and access to state-of the-art core facilities for single cell analysis platforms, including sequencing and spatial tissue profiling. Terms
-
agricultural or ecological settings. Experience with GIS (Geographic Information Systems) or spatial analysis for landscape-level studies. Experience with scientific writing in English You need to be able
-
of freshwater species which would facilitate greater spatial and temporal sampling of freshwater fishes in Madagascar. This project has a direct conservation impact providing data to support the sustainable
-
experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
-
on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
European MSCA Doctoral Network TRANSFORM - Urban Mobility Cultures in Transition: Socio-Spatial Implications of Transformative Practices (2025-2028). The TRANSFORM project will study from a holistic
-
flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet