39 parallel-processing-bioinformatics-"Multiple" PhD scholarships at Chalmers University of Technology in Sweden
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We are offering an exciting opportunity for a motivated, independent, and curious PhD student. Are you interested in the biological processes within wastewater infrastructure? Do you enjoy both
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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the entire industrial process — from identifying needs to delivering the final product — while generating added value. The department stands out both nationally and internationally through its ability
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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. These duties can be scheduled flexibly over the year. Supportive, inclusive, and equality-focused work culture. Opportunities for national and international collaboration. Application process Your application
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of on-site construction production processes, as well as sustainable development. You will also demonstrate independence, creativity, and strong collaboration and analytical skills. Research environment
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We are looking for a PhD candidate fascinated in modelling erosion processes in sensitive clay slopes. The highly sensitive clays, called quick clays, can change from solid to liquid with small
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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
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, please contact: Professor Jelke Dijkstra jelke.dijkstra@chalmers.se +46 70 7722120 For questions about the recruitment process, please contact: Professor Minna Karstunen minna.karstunen@chalmers.se +46 70