86 computer-security "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Nature Careers in Denmark
Sort by
Refine Your Search
-
information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
-
Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
candidates regardless of personal background. Application deadline: 1st of May 2026 at 23:59 hours local Danish time Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1
-
at scientific conferences. Excellent English skills, both written and oral Who we are You will be part of the Section for Microbiology. To find out more about who we are check the following page: https
-
cultural events including music festivals etc. See e.g. the recent recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html). Aarhus is easily reached through
-
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
-
a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
-
an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
-
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
-
of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3538
-
, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer