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Project advert Perfluoroalkyl substances (PFAS) are manmade chemicals that are ubiquitous within society. PFAS offer water/oil repellence and non-stick properties, featured in numerous consumer
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further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge of, for example
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technology, which works by cutting a DNA sequence at a specific genome location and deleting or inserting genes there. The CRISPR-Cas method provides an excellent basis for the development of unprecedented
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of data-driven approaches within these multi-parameter models to produce faster and more robust correlations and tools that can be incorporated within industrial methods and have an impact on future designs
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will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
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. the incompressible Navier-Stokes equations, and ideally have some experience in programming and numerical methods. English language requirements: Applicants must meet the minimum English language requirements. Further
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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Master in Experimental Psychology, HCI, UX or related fields Experience with research methods in social sciences (e.g., empirical research, experiment design) Experience in statistical methods is
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas