Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Job Description If you are an ambitious researcher looking to further your career in environmental science, groundwater systems, and pore-scale experimentation, we invite you to join us as a Postdoc
-
Job Description If you are looking for extending your experience in heat treatment and surface engineering of structural materials in a leading innovative research environment, this might be
-
Job Description If you are establishing your career as a robotics scientist and engineer and want to work at the cutting edge of autonomous robotic manipulation in harsh, unstructured environments
-
University. Anchored in the Section for Quantum Physics and Information Technology (QPIT) at DTU Physics, you will join a collaborative environment where doctoral and postdoctoral researchers along with our
-
attributes of urban environments and vector-borne diseases remains understudied, decreasing the efficacy of measures to address health issues in African cities. The postdoc’s duties will include: Developing
-
of Mathematics, the city of Aarhus as well as Denmark can offer the successful candidate: a positive and international work environment with a flat hierarchy, a competitive salary, universal health insurance as a
-
Department of Mathematics, the city of Aarhus as well as Denmark can offer the successful candidate: a positive and international work environment with a flat hierarchy, a competitive salary, universal health
-
-2026 or as soon as possible thereafter. The position will be available for a 2-year period. You will be part of a research environment focusing on soil management and soil fertility in the context
-
will be available for a 2-year period. You will be part of a research environment focusing on interaction between crop growth, soil fertility, and the nutrients turnover in agricultural soils. You will
-
, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning