291 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Aarhus University
- Nature Careers
- Technical University of Denmark
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Aarhus University;
- Copenhagen Business School
- University of Southern Denmark;
- Geological Survey of Denmark and Greenland (GEUS)
- 1 more »
- « less
-
Field
-
a focus on metabolomic and transcriptomic data. Performing tissue sectioning, matrix coating of the resultant sections, data acquisition using a Bruker TimsTOF MALDI-2 instrument and downstream
-
data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes. The group has already back in 2013 developed a bioinformatic
-
here . Further information Further information may be obtained from Prof. Marcel A.J. Somers (majs@dtu.dk ). You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
-
at DTU here . Further information Further information may be obtained from Senior Researcher Dennis Christensen, dechr@dtu.dk , +45 20961946. You can read more about our department DTU Energy at
-
advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
-
for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
-
can read more about career paths at DTU here . Further information Further information may be obtained from professor Poul Sørensen, email posq@dtu.dk , mobile phone +45 2136 2766. You can read more
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
-
Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
-
-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written