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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role Develop a doctoral thesis in Humanities / Education under the supervision of Prof
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be supervised by Prof. Dr. Jun Pang and Dr. Zhiqiang Zhong. Your profile We are looking for a candidate who is passionate about advancing scientific knowledge at the intersection of AI, environmental
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positions in Finance. The program follows the standard international format with rigorous coursework in the first year and for the remaining, up to five years, work on research projects that will make up
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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Ambition to publish or experience in publishing at A* level conferences Strong programming and problem-solving skills Analytical mindset, hard worker, and team player Experience in a research or industrial
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python