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healthy cells in its path, leading to undesired side-effects. Hence, the success of radiotherapy critically depends on accurate treatment verification to maximize the radiation dose inside the tumour and
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water is forced through the filtrous material. Using Starccm software, Wisetex (KU Leuven software) and Flowtex (KU Leuven software), it will be possible to predict the impregnation behaviour together
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OR computer science OR data science. · You have good software skills and high-level programming languages (python, julia), e.g., finite element software (commercial or open source), Matlab/Simulink. · Critical and
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research topics of the PhD project as detailed in the project description above. You are an experienced programmer in Python. You have a strong interest in working on real healthcare applications and in
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, including some notions on data assimilation Experience with data-processing software such as Python, Matlab, IDL, GrADS, R, or other Experience with programming and scientific computing in a language such as
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and statistical/ econometric analyses (by analyzing (large) data sets with software programs such as STATA, R, or Python).- has strong communication skills and likes to work in a team, but can work
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++• CFD software (OpenFOAM, Ansys, …)• Numerical optimization• Flow solvers• Heat transfer modeling Selection process Applicants should express their interest by sending an email to Prof. Niels Horsten via