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of Computer Science in the Faculty of Mathematics and Informatics at Saarland University runs the Graduate School in close cooperation with the internationally renowned research institutions: They are all located right
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to Ayan Paul, Research Scientist at EAI and collaborate with researchers and faculty at NetSci and NU London. Responsibilities will literature review and validation of mathematical frameworks
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should feel confident in their ability to learn about and use new mathematical and machine learning tools as needed, even if these have not formed part of their prior studies. The candidate is expected
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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Fashion Imaging and Characterisation Informatics Management of Projects in Engineering Materials Mathematics Mechanical Engineering Metallurgy and Corrosion Nano and Functional Materials Nuclear Engineering
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expertise and research specialisation. The graduate school welcomes projects in natural sciences (biology, physics and chemistry), social sciences (geography, history, religion and civics), mathematics and
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the fields of atmospheric sciences, chemistry, computer sciences, engineering, environmental sciences, hydrology, mathematics, oceanography, and physics are encouraged to apply. A candidate must complete all
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, necropsy) Must be okay working with and handling rodents and small animals. Analytical skills to resolve problems that require the use of basic scientific, mathematical, or technical principles. Work
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artificial intelligence and mathematical modeling, to study behaviors affecting individuals with disabilities such as behavioral relapse and self-injurious behavior. This position does not require a background