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                receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available 
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                , Sweden, and the Netherlands, collaborating on qualitative, ethnographic research and data analysis. Duties include: Planning and conducting field studies and interviews in Sweden, Finland, and/or 
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                spoken and written English is required. Assessment In the selection process, special emphasis will be placed on: the ability to benefit from doctoral education, documented experience in data analysis 
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                29 Oct 2025 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Agricultural sciences Researcher Profile Established Researcher (R3) Country Sweden Application Deadline 
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                flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid 
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                administrative duties, up to a maximum of 20% of full-time. The working language is primarily English, but you are expected to acquire basic knowledge of Swedish during the employment period. More information 
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                research activities, contributing to data collection and analysis, preparing reports or documentation, and collaborating closely with faculty, researchers, and students in relevant projects. This position 
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                team members, participate in different meetings, write reports and research papers, and have a positive attitude to share information. In addition, you will participate in analysing and interpreting 
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                29 Oct 2025 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Physics Researcher Profile First Stage Researcher (R1 
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                , or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic