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experimental platform and combine it with continuum modeling of complex materials and machine-learning-based analysis methods to understand and predict biofilm structure and growth. Supervision: Shervin Bagheri
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for modelling various cognitive processes on a neuroscientific basis, which are tested using robots. Areas of study include perception, memory, learning, cognitive development, attention, motor control and
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are considered as other qualifications: Practical experience from statistical signal processing or machine learning. Experience with mathematical modelling and analysis of wireless communication systems. This also
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and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure, teachers must have the personal qualities
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/NIR) for separation and material sorting, and use machine learning for process optimisation and performance prediction from fiber to finished product. Functional processing of recycled materials and AI
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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media and visual communication. The research ranges from foundational computer graphics and visualization technology to applications in areas such as medicine, astronomy, and biology. An emerging research