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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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A Research Associate post is available in the Global Coastal Wetlands Research Group directed by Thomas Worthington in the Department of Zoology at the University of Cambridge. The applicant will work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal...
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, Technology, Engineering, Mathematics, and Medicine. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a
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Human Technopole (HT) is an interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Neurogenomics, Computational Biology, Structural Biology,...
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, applied mathematics, or a related field, with experience in MRI, image processing, and medical imaging. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V
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mathematics (STEM) discipline or a field that supports the DOE operations mission including but not limited to communications, management, business and law. A complete application consists of: Profile
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https
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of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science