-
This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance
-
manipulation as well as locomanipulation tasks using mobile robots with humanoid form factor. The research of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine
-
degree equivalent to at least 240 higher education credits in Electrical Engineering, Computer Sciences, Applied Math, or similar fields. • A deep understanding and background in machine learning methods
-
the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite
-
--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
-
Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
-
Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
-
, a combination of theory, numerical modeling and the application of machine learning for reduced physics and surrogate models are used. The research will be performed in an international environment
-
Engineering, designed for 5 years. As a PhD student, you acquire the skills and knowledge to conduct independent research in the field of software engineering, with a special focus on software performance
-
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