Sort by
Refine Your Search
-
Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
-
artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
-
Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
-
while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality
-
while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality
-
fabricate demonstrators in our state-of-the-art Nanofabrication facility and perform experiments in the terahertz characterisation facility (Kollberg Laboratory ). As a PhD student, you are expected
-
Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
-
with a team of researchers to contribute to the development of new knowledge and technical solutions to enhance the performance of wood-based products bonded with adhesives, including bio-based ones
-
, renovation, and the built environment Optionally, teaching at undergraduate level or performing other departmental duties (up to 20% of working time) Contract terrms The position is limited to four years, with
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental