Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- Susquehanna International Group
- DAAD
- Technical University of Munich
- University of Cambridge
- University of Newcastle
- Carnegie Mellon University
- McGill University
- Purdue University
- Radix Trading LLC
- Temple University
- The University of Iowa
- University of Florida
- ; University of Cambridge
- AALTO UNIVERSITY
- Brookhaven Lab
- CSIRO
- Duke University
- Fraunhofer-Gesellschaft
- Imperial College London
- Leibniz
- Technical University of Denmark
- The University of Chicago
- UNIVERSITY OF HELSINKI
- University of Alabama at Birmingham
- University of Antwerp
- University of Central Florida
- University of Groningen
- University of Liverpool
- University of Minnesota
- University of Minnesota Twin Cities
- University of Oxford
- University of Texas at Austin
- Wageningen University and Research Center
- 25 more »
- « less
-
Field
-
of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
-
. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
-
Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
-
characterization of deep-water habitats, GIS 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
-
area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
-
area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
-
or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
-
, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
-
tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing research papers and policy reports. Participate in meetings with collaborators and
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter