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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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the aim of developing models, tools and competitive technological solutions to support the transition in sectors such as energy, transport and heavy industry. Within a scientifically excellent environment
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knowledge exchange and personal development are strongly encouraged. Great emphasis is placed on creating a creative and supportive environment where employees are given the opportunity to develop both
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional
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the Uppsala University application system VARBI: https://uu.varbi.com/en/what:login/type:job/jobID:915373 The Department of Physics and Astronomy at Uppsala University, Sweden has an opening for a two-year
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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research is carried out in close collaboration with external partners, both nationally and internationally, and contributes to knowledge development and innovation. Through our collaboration platforms, we
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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dynamics & control, developing systems that push the boundaries of robotic locomotion. Learn more at chalmers-rail.github.io . About the research project Free-standing passengers on public transport – buses