Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems to test them? Then join the Precision Medicine Technologies Lab
-
monitoring Statistical analysis and modelling of relevant data (e.g. environmental data). Publishing results in peer-reviewed scientific journals. Fisheries management and conservation (e.g. biodiversity
-
, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled researchers and employees. The Institute employs
-
). Responsibilities and qualifications As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. You must: Have experience in AI models (e.g
-
spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
-
the fishing and fishing gear industries. Key Responsibilities The project involves developing and implementing deep learning models for species detection, classification, and length estimation from EM video
-
Industrial Robots (MIR) and 120+ other companies. We are specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. The group is involved in a variety of national
-
Modelling using CAD design and simulations, and mathematics. A strong motivation for collaborative projects within academia and industry Proficiency in Danish is required due to collaboration with local
-
. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
-
models without affecting overall performance. These algorithms will tackle critical challenges like ensuring compliance with GDPR's "right to be forgotten," removing biases for fairer decision-making and