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position offers unique opportunities to develop your skills and knowledge while making a difference for the future by contributing to the sustainable development involving a technology for manufacture of
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conducting research in associated areas. Our education programmes are developed in close collaboration with the surrounding industry and have a yearly intake of about 300 students. Computer Science is an
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, the Robotics, Perception and Learning Lab at KTH, and the Department of Mathematics at KTH. It also involves active engagement with industry partners, including H&M, Volvo Cars, Zenseact, and Embellence Group
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-tier journals in innovation, entrepreneurship, or strategic management. Importantly, the research should be largely grounded in real-world challenges and opportunities faced by industry, with a clear
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partners from both academia and industry. We offer a vibrant workplace with students, staff, and visitors from all over the world, as well as generous annual holidays, wellness allowance, and a favourable
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on developing sustainable and resilient food logistics and packaging systems within the framework of Industry 5.0, emphasising the shift towards circular food production in Sweden. Specifically, the postdoctoral
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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educational environment. Our main strength is the focus on industry-relevant empirical research in close collaboration with industry. BTH’s research in software engineering, as well as many of the department’s
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industrial demands in the wood composite industry. In this project, you will have the opportunity to combine cutting-edge expertise in polymer science with practical solutions for a greener future. If you have
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industry towards increasing sustainability and traceability through a circular and a digital transformation. Data connected to recycling and reuse may be addressed. You will utilize both existing data in