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methods is a requirement for this position. Since the research will be conducted in an international research environment, a good knowledge of English in speech and writing is essential. You will work
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ocean, and an urgent need to inform regulatory bodies about associated environmental risks. The work builds upon methods developed in our previous inter- and transdisciplinary work on shipwreck risk
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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methods to integrate user behaviour into LCA and design practices. What you will do: Pursue doctoral studies leading to a PhD degree Conduct LCAs of household appliances integrating user behavior Contribute
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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tasks As a PhD student, you will be part of a research team that combines experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop
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cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods
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the preservation of cultural and historical values, and contribute to accessible, high-quality housing. The project will apply qualitative and participatory methods such as focus groups, interviews and workshops. A