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PhD student in advanced data analysis for data integration, image analysis, and precision oncology Login and apply Faculty of Medicine, Department of Clinical Sciences, Lund Lund University was
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PhD student in generative modeling for data-efficient machine learning Norrkoping Reference number LiU-2026-02831 We are now looking for a PhD student in machine learning with a focus on generative
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research process. Duties include planning and conducting feeding trials with dairy cows, sampling and analysis of biological materials, processing and statistical analysis of experimental data, and
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in
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on occurrence data, chemical properties, environmental persistence, mobility and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously
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dialogues, analyses of spatial data, validation and testing the indicators on case-studies. You will develop maps of nature values to contribute essential knowledge for sustainable marine coastal planning and
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experience through field experimentation, data processing, statistical analysis, scientific writing, and the communication of research findings. You will work closely with researchers at SLU and with
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analysis of data. Experience of work with plants or insects in the field or green house. Strong interest in crop protection and crop breeding. Good command of written and spoken English. Meriting
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such issues, we will use existing experiments, chronosequences, and survey-data for evaluating the effects from restoration on ecosystem services and collaborate with a multidisciplinary team of
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Engineering, Energy technology or related field. Documented knowledge and experience in data programming and modelling. Excellent communication skills in English, both written and spoken. Meritorious