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the preservation of cultural and historical values, and contribute to accessible, high-quality housing. The project will apply qualitative and participatory methods such as focus groups, interviews and workshops. A
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interests, the project can take several directions. One option is to use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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of rural development with a focus on energy transitions. They will be involved in empirical work linked to WP6 tasks, and develop mixed-methods grounded in qualitative research and comparative analysis
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of the student is of a person fully committed to forest economics research with foundational training in research methods. The candidate will be responsible for: integrating economics and natural resource
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departmental duties, up to a maximum of 20% of full-time. Your qualifications We are searching for someone with a Master’s degree in computer science, media technology, computer engineering, human-computer/robot
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In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
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interfaces and driver modelling Implementation of control algorithms in mechatronic systems Experimental design and statistical methods Vehicle testing and test methods involving human test subjects What you
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems