Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in mapping current and novel soil health indicators, starting 1 January 2026 or as soon as possible
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in mapping current and novel soil health indicators, starting 1 January 2026 or as soon as possible
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
-
engineering, basic API use, and user testing is a plus. Interest in social entrepreneurship education is welcome. Ability to manage your tasks and communicate effectively with researchers and educators. Fluency
-
responsive and intuitive React-based frontend Integrate the React frontend with REST APIs designed with FastAPI Writing and maintaining clear, professional documentation to ensure long-term maintainability and
-
University of Copenhagen, Niels Bohr Institute Position ID: UCPH -NBI -PHDQQQ [#30093] Position Title: Position Location: Copenhagen, Copenhagen 2100, Denmark [map ] Subject Area: High Energy
-
experience with one or more of the following research areas: RNAseq data (mapping, quantification, down-stream analysis) Single cell analysis (RNA, DNA) Quantitative mass spectrometry data (proteomics
-
mapping key stakeholders to ensure inclusive and representative participation. The position is for 7 hours per week and will be available from the 1st November 2025 - 12th April 2028. Key Responsibilities
-
computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling