41 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "I.E" research jobs at Nature Careers in Denmark
Sort by
Refine Your Search
-
, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer Vulnerabilities This project aims
-
University (http://bio.au.dk/en) and work in the Section for Microbiology at this department. The section employs 12 permanent scientific staff and ~20 PhD students and postdocs. Research at the section covers
-
students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information
-
and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
-
of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3538
-
. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Apply online https://fa-eosd-saasfaprod1
-
of publications (applicants applying for the position as senior researcher should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching
-
. The Section for Wildlife Ecology is situated in Aarhus and employs 35 staff members, including six affiliated with the bat research group. For more information on the Department see: http://ecos.au.dk/en/ What
-
recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html ). Aarhus is easily reached via local international airports in Jutland within 1 hour of Aarhus, or via
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
ecological processes, i.e., vertical turbulent diffusion, phytoplankton production and consumption, greenhouse gas emissions, etc., to develop hybrid models. Performance will be compared to several 1D aquatic