208 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
-
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
-
polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
-
of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
-
likely use ICP-MS to measure catalyst degradation in the electrolyte after testing. The potential to teach, advise Bachelor/Master student thesis projects, or be involved in proposal writing is also
-
research infrastructure A competitive salary and social benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff/getting-settled ) Workplace
-
highly desired. Strong communication skills, the ability to collaborate effectively within the team, and proactive working style are essential. The candidate should be motivated, open to learning new
-
-motivation to learn. Have the ability of working independently. Have a strong sense of responsibility. Research environment The candidates will be integrated in the unit SDU Robotics, part of the Maersk Mc
-
at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
-
. Who we are The project is led by Jesper Asring Hansen, Associate Professor at Aalborg University and principal investigator of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research