30 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" scholarships at Aalborg University in Denmark
Sort by
Refine Your Search
-
design, digital design, and interactive media (https://www.en.create.aau.dk) . The department is a leading research and educational environment in Denmark that addresses the challenge of the interplay
-
to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning
-
, Biomedical Science and Technology, and 1500 students in our bachelors and masters programmes. We hold state of the art research and we offer state of art learning opportunities in our teaching facilities
-
, Biomedical Science and Technology, and 1500 students in our bachelors and masters programmes. We hold state of the art research and we offer state of art learning opportunities in our teaching facilities
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
-
% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
-
electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
-
for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image