272 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
or soon thereafter, and the position offers a full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive
-
DTU Energy at https://www.energy.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your
-
DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
-
and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new
-
from by contacting Professor Peter Vesborg or Professor Stig Helveg . You can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from
-
@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
-
The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a
-
following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
-
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
-
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