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‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8100F · Research Area: Chemistry · Select ‘PhD in Chemistry (full time) as
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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experience with coding, e.g. MATLAB or LabVIEW, would be beneficial. Familiarity with multiphysics simulation tools is desirable. Evidence of creative thinking and the ability to work independently. Industry
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strategies and levels of fidelity. By the end of the project, the student will demonstrate the integration of ML-based boundary layer models within an open-source finite volume CFD code and quantify
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. Numerical implementation of the developed model is planned to be carried out in a C++ high-performance in-house code built on the deal.1I and Trilinos libraries. You will also need to validate the obtained
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F. select ‘PhD Electrical and
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘‘PhD Mechanical Engineering (full time) - 8090' as the programme of study You will then
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings