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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
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skills) *: PhD. Education/experience requirements*: PhD. Additional qualifying skills and abilities*: Strong analytical research skills to gather, document, and analyze information obtained through
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for an individual with strong conceptual, analytical, teamwork, and problem-solving skills who has the ability to plan the work independently with minimal supervision and adhere to a time plan to meet the deadlines
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fundamental and applied research within verification and model checking, embedded and cyber-physical systems, data-intensive systems, AI, planning, networks, programming theory, and security. Applications span
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activated carbon filters using advanced analytical techniques. Project overview In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater in biological activated
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate