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. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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background in immunology, flow cytometry, as well as experience in rodent models. The selected candidate will be expected to work independently while interacting in a collaborative environment. Education
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cleaning, statistical analysis, and computational modeling. Other duties may include assistance in the preparation of research documents and reports. The student will use Stata and Matlab to assist
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis
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modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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the position, the required skillset includes: Strong background in electromagnetic and optical modeling using tools including Ansys, Comsol, Matlab, and other methods. Expertise in wet chemical synthesis