31 postdoc-path-planning PhD positions at Chalmers University of Technology in Sweden
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development (using both traditional signal processing and machine learning), antenna design, and system hardware development. We collaborate closely with clinical experts to develop innovative technologies
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sustainable design, product development and environmental assessment will conduct case studies to integrate user behaviour into the early design of dishwashers, washing machines, refrigerators and ovens
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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sectors, the research aims to enhance traffic safety and integrate it into occupational health and safety frameworks using a co-design methodology. About us The research of the Division of Design & Human
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support to competent authorities on how to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable
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environmentally critical, regeneration has not been explicitly integrated into building production – until now. For this position, you need to possess knowledge of the planning, organization, and management
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, for example a 4-year bachelor's degree is accepted. The position requires strong verbal and written communication skills in English. About WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is
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to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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training systems. Furthermore, we aim to develop a measurement framework to assess the impact of such attacks on training performance, adversary costs, and model accuracy. Our ultimate goal is to design a