Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- University of Oslo
- Duke University
- KU Leuven
- University of Turku
- Aalborg Universitet
- Aarhus University
- Eindhoven University of Technology (TU/e)
- Georgetown University
- Göteborgs universitet, Department of Marine Sciences
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF HELSINKI
- University of Amsterdam (UvA)
- University of Thessaly
- 7 more »
- « less
-
Field
-
of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
-
Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0
-
across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
-
to ecological, ethical, and policy contexts. BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit
-
on complementary aspects of the project. Collaborate with the statistical post-doc on the study who will lead advanced statistical developments. Ensure methodological rigor and scientific excellence throughout all
-
and statistical tools to identify patterns in large datasets The candidates should demonstrate evidence of self-driven and independent research capability, excellent collaboration and communication
-
the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD
-
members to analyse data, present project findings at international conferences, and produce scientific papers. Some research-centered teaching at BSc and MSc levels as well as science outreach for public
-
CFD workflows and Lagrangian particle/cell tracking to extracting actionable insights with statistical learning and AI/ML—ultimately enabling more robust scale‑up, smarter process control, and faster
-
bioinformatic and ecological statistical tools To be able to collaborate with other researchers, understand biological scientific questions and provide analytical solutions to complex datasets To work closely