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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/research-assignments/department-mathematics-ca
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Optimal Transport for Optimization and Machine Learning School of Engineering Sciences at KTH Project description Third-cycle subject: Applied and computational mathematics The project focuses on applying
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infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. You'll also
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computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. and have completed no more than three years of postdoctoral work are encouraged to apply. Only one
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) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. Strong background in computational
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chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization
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3 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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. Must be detail oriented and possess basic mathematical skills. Qualifications: Minimum: High School diploma/GED plus five (5) years of experience in a healthcare revenue cycle related or bookkeeping
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical