Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
and think strategically. You are creative and like to put new ideas into practice. You have a solid interest in scientific computing and a strong natural curiosity with a genuine wish to learn more and
-
expected to work with VIVA+ Developer Team and other contributors across various universities and organisations. The work will also include implementing machine-learning based workflows to extract crash
-
and teach machines how to recognize it. Would you like to help us out saving cyclist and e-scooterist lives? Information about the division and the department In the Vehicle Safety Division
-
the areas of automation, formal system verification, control, autonomous robots, machine learning, and AI. The Automation group is an integral part of the Department of Electrical Engineering (E2) which
-
: - Experience with wireless communication networks - Knowledge of information theory and/or statistical learning theory - Experience with python machine-learning libraries Contract terms This postdoc position is
-
Employers). Mathematical skills in, e.g., optimization and stochastic processes, are desirable as are excellent programming skills and experience with machine learning. Knowledge in wireless communication
-
computationally hard problems are found in optimization, machine learning, quantum chemistry of molecules, materials science, etc. Having contributed to pioneering research in the field of superconducting quantum
-
Join the endeavour of constructing a cutting-edge Swedish quantum computer and contribute to the advancement of the rapidly growing and promising field of quantum technology. The postdoc researcher
-
them, and conduct experiments with modern machine learning techniques (e.g., deep neural networks, graph neural networks, or active learning) with the goal of predicting the performance impact of code
-
on the software side: - Warm-start for VQAs using the underlying structure of molecules and their Hamiltonians – to minimize the number of quantum-classical computer cycles needed for convergence. - Learning