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Field
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In this project, novel laboratory-scale continuous “flow chemistry” reactors will be designed and 3d-printed, and applied to a variety of real reactions from industry, currently performed in batch
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accelerate the energy transition of the maritime sector through cutting-edge research, innovation, and value chain collaboration. This PhD project is a part of Research Area 2 (RA) and WP 2.1. The maritime
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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or in the face of adversity Show curiosity and strong motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan
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higher education and research, in and outside academia. This PhD position in Political Science offers an excellent opportunity for scientific development through designing, conducting, and disseminating
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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-driven solutions to support decision making in healthcare. The research will be conducted in collaboration with Østfold Hospital Trust. The candidate is expected to: design, develop, implement and test
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score 90 or IELTS test with min. score 7.5. strong and demonstrable interest in web programming, UI/UX Design Desired qualifications We would like you to have an average grade point for courses included
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adjusting the plan for the project as needed Work constructively under pressure or in the face of setbacks Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in