67 high-performance-quantum-computing Postdoctoral positions at Nature Careers in Denmark
Sort by
Refine Your Search
-
engineering to identify variants with high performance towards PFAS degradation. Enzyme immobilization for efficient and continuous enzymatic PFAS degradation in realistic water matrices and under water
-
Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
sampling, combined with laboratory-based metabolomics, microbiome analyses and quantitative PCR. We expect that you will report research results in high-impact scientific journals. We also expect that you
-
working on bridging this gap by investigating the biochemical properties of Asgard archaea proteins crucial to the understanding of their ecology and evolution. You will perform: heterologous expression in
-
environment. We also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency
-
detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
-
-biologists. The team consists of a dynamic mix of experimental and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What
-
research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, agronomy or similar Collaborative skills and ability
-
hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
-
be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D