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. Moreover, he will also provide instructions in these techniques to students and other laboratory personnel. This position requires a PhD in biological sciences or a directly related field as
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parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree
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. This successful candidate will be co-supervised by Claudine Backes , PhD, Scientific Director of the National Cancer Registry of Luxembourg and Allini Mafra , PhD, epidemiologist at the LIH. Key Accountabilities
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Statistics, NSF, and the Federal Reserve Board. This is a very specialized task involving advanced research and coding knowledge. A postdoctoral scholar must hold a PhD or equivalent degree. Scholar will
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research teams in problem-solving the collecting, managing, and writing scripts to clean, organize, analyze, and report data using major statistical packages such as SAS, R, or Mplus. They will have the
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or biogeochemistry. Your profile We are looking for a dynamic, reliable and motivated candidate with a PhD in biology, forestry, environmental sciences or related disciplines. Strong interest in process-oriented
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cooperatively with others Expertise in Bayesian data modeling and computation Preferred Education and Experience: PhD in statistics or in related fields Experience in Bayesian computation with complex and big
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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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: image processing, statistical signal processing, information geometry, sparse signal processing, generative AI, unsupervised and meta learning, radar, GPU and FPGA, Arm processor. Research Group • ENSTA
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of tools and public goods. Requirements Applicants must have (or expect to have) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical