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related to this job in PI (Nanyang Assistant Professor Guangwei Hu): https://dr.ntu.edu.sg/cris/rp/rp02126 . We are looking for a Postdoctoral Fellow to support research works in COEB. The role will focus
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 5 days ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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for the aforementioned reactions. Based on the automatic reactor, an I-TR-NUS&TR-L running benchtop spectrometer, and machine learning algorithms, we will be able to achieve a higher yield and control the reaction to stop
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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: Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic
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about our department and instructional programs is available at http://www.cpp.edu/~cs/ . The Position The temporary faculty pool is continuously open, and positions are filled as needed, based on student
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of single neurons from the neural imaging data. Work will involve manual curation of datasets, training machine learning algorithms for automated detection of neural activity. The candidate may also be
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focus on elevating the theoretical, mathematical and algorithmic underpinnings of AI. The Applied AI Cohort will primarily focus on harnessing AI to revolutionize the translation of ideas to real-world
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using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated