99 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" positions at University of Nottingham
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an outright pass or pass with minor corrections, otherwise the fellowship will be withdrawn. The award must not merely be used as an opportunity to continue or complete PhD work but must enable a step-change
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complete PhD work but must enable a step-change enhancement to the applicant’s scientific career. As this fellowship is available to those PhD students who have not yet had the opportunity to develop
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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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, and assisting with administrative processes that underpin all three functions. You will help ensure adherence to University policies and procedures and will carry out service quality, codes of practice
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equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good
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student, who likes working as part of a team and is keen to take on a new challenge. An understanding of optics and/or machine learning is desirable but not essential, along with general coding skills. 1st
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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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and willing to tinker with equipment. Interested in how machine learning and modelling techniques can impact real-world processes. Experienced with kinetic analysis and/or coding (MATLAB or Python