139 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Nature Careers in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
-
Europe funded by the Lundbeck Foundation. DANDRITE: https://dandrite.au.dk/ Lab website: https://www.synaptic-logistics-lab.com/ What we offer The department/centre offers: a well-developed research
-
-equipped class 100 metal-free clean-laboratory, two ICP-MS, and TCN dating facilities. https://geo.au.dk/en/research/faciliteter/laboratories/facilities . We also have the largest pool of hydrogeophysical
-
will be 16 May 2026, or as soon as possible thereafter. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career
-
The Centre for Quantum Mathematics (QM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU) invites applications for a number of 2-3 year positions as
-
computational methods to develop novel protein-based affinity-binders for detection and quantification of post-translational modifications in proteins and peptides. Produce, purify and test selected designer
-
of microbiome engineering through innovative research, teaching, and collaboration. Responsibilities and qualifications We are seeking a top scientist with a research program in engineering and modification
-
at http://employment.ku.dk/faculty/ Your application should include the following documents: Cover letter Curriculum vitae, incl. educational qualifications, experience, and a list of publications A scanned
-
engaged scientific environment at the Section for Arctic Ecosystem Ecology (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/arctic-ecosystem-ecology ). The department is
-
Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning