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Field
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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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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, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems. Our RTG combines science and research projects that start
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Intellectual History. The successful candidate will be part of a project ‘Royalist Radicals: Royalist Opposition and the Making of Parliamentary Democracy (France and Europe: 1814-1830)’ (2026-2030), funded by
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describing research interests and qualifications. 2. Curriculum vitae including publications and history of research training. 3. Contact information for three professional references. Official transcripts
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Trinity College Dublin, School of Mathematics Position ID: 1697 -PHD [#26720] Position Title: Position Type: Academic admissions Position Location: Dublin, Dublin D02 PN40, Ireland [map ] Subject
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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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