105 structures-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Sweden
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- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
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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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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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of Technology , you will investigate this question at the intersection of electrochemistry, materials science, and mechanics. Your work will advance the next generation of structural batteries—materials
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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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Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg | Sweden | 3 months ago
of Gothenburg can be found on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral studies in Medical Science comprises carrying out a scientific project and completing
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, as well as previous success in obtaining research funding, are considered merits. You are a structured individual with strong initiative, who enjoys working independently but also appreciates
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to follow do not need to be structured in a specific way, but we recommend that the following points are covered (in the way you prefer): 2) Construct the proposal around the overarching question and the aims
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chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic research to more applied
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take a leading role in quantitative risk and uncertainty analysis of food safety risk assessments and in the development and implementation methods for the structured elicitation of expert judgement