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Field
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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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. At the intersection of different sub-fields (applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical
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. You have a solid understanding of thermodynamics, basic transport phenomena, and core concepts in mathematics and physics. You have experience working in a laboratory environment, including tasks
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spaces of AI models will be analyzed in their facts using quantitative methods from data science and AI, results of which then be investigated using qualitative methods and theory of critical studies
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background in addition to a good background in mathematical analysis. The project interacts with several areas of mathematics: computational harmonic analysis, approximation theory, orthogonal polynomials
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. The unique and internationally competitive doctoral program provides cutting-edge methods and advanced theories in in the hub science Psychology of Transformation as well as the following five
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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The origin of life remains one of the greatest mysteries in science. While many theories have been proposed, no single explanation has yet gained universal agreement. That’s where the PRELIFE