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concrete, structural materials, durability, structural health monitoring, corrosion, experimental testing or numerical modelling. Strong analytical, organisational and communication skills. The ability
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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. Outstanding applicants will be recommended for the prestigious “Shuimu Tsinghua Scholar” Fellowship (https://postdoctor.tsinghua.edu.cn/info/zxtz/2174 ) or equivalent talent programs. We offer internationally
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include expertise in igneous and metamorphic petrology, thermodynamics, major and trace element analysis, computing, and modeling. The department houses key instrumentation, especially a LA-ICP-MS system
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degree in a mathematical branch of study Solid knowledge of one of the following fields: infinite-dimensional optimization, nonsmooth optimization, or optimal control Experience in numerical realization
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Duties (60%) - Performing high level experimental, theoretical, and numerical research and data analysis (20
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks
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current micro-test systems of fibres and fibre-matrix systems. This requires laboratory work with materials testing electronics and codes. Alongside, high-fidelity numerical analysis is needed to understand
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study across the human sciences because of its importance for individuals and societies. Sociological and demographic research has developed numerous theories of fertility and produced a sophisticated
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models