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Field
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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required. Ability to rapidly learn, optimize, and implement new or advanced techniques as required by the evolving research direction. Experience leading or substantially driving a complex research project
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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of compiler- or AI‑generated code. Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization. Hardware/Software Co‑Design
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23 Jul 2026 Job Information Organisation/Company RIKEN Department Administrative Support Office Research Field Chemistry Geosciences Astronomy Physics Mathematics Researcher Profile Recognised
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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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for our innovative work-life programs. For more information about working at the University of Arizona and relocation services, please click here . Duties & Responsibilities Design, implement, and optimize
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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guidance from your mentor, your learning opportunities may include: Assist in the design of new grant programs for energy optimization and residential workforce development created through the Infrastructure
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
Academy of Sciences of 30 April 2010 (Journal of Laws 2020, item 1796, as amended), Article 89, Section 4. In particular the successful candidate will be responsible for: • optimization