270 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Sweden
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Field
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, friendly, and helpful work environment to which we welcome you to contribute. Our activities focus on the modelling of the mechanics of structures, components, and processes along with involved materials
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funded by the Swedish Competence Centre in Road Technology (KCV) for four years. The aim of the project is to optimize the use of recycled asphalt and marginal quality aggregates in road construction and
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experimental platform and combine it with continuum modeling of complex materials and machine-learning-based analysis methods to understand and predict biofilm structure and growth. Supervision: Shervin Bagheri
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computational models, very good study results. We place great emphasis on personal qualities such as creativity, perseverance, the ability to work independently, and a structured approach to problem-solving. You
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social network analysis methods that incorporate both network structure and the personal attributes of nodes, while minimising bias against individuals or groups. The project will be developed with
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facility. You communicate clearly and enjoy building relationships across different functions. You are structured, quality-conscious, and detail-oriented, with a strong commitment to safety and compliance
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safety at the facility and enjoy supporting colleagues with clear, constructive guidance. You communicate effectively, build trust across functions, and bring a structured, quality-conscious approach
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structure, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working
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structure and carry out work. Preferred qualifications Prior experiences of teaching and/or supervision of students' project work, knowledge in machine learning and deep learning, language technology
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focus on the sub-seabed storage of CO2, this project explores the legal frameworks and governance structures necessary to manage risks and long-term environmental liability of carbon storage in the sub