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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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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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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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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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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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, 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
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methods Excellent programming skills and familiarity with modern deep learning frameworks Strong interest in interdisciplinary research, and the ability to engage meaningfully with collaborators from
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Netherlands. The training program will be detailed based on the profile and educational background of the PhD student recruited. PhD training will be framed by the mandatory Doctoral Education Agreement (DEA) between