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knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrea Vedaldi (email:andrea.vedaldi@eng.ox.ac.uk) For more information about working at
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs. Proficiency inPython programmingand major ML/DL frameworks (e.g., PyTorch, TensorFlow
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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of the appointment. Demonstrated experience with deep learning methods or sophisticated mathematical frameworks applied to large-scale or scientific datasets. Experience working with observational seismology data (e.g
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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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an emphasis on machine learning (Position 2) • Deep knowledge of hydrology (considered an asset) Knowledge of Greek is not required. 💼 RIGHTS/OBLIGATIONS Postdoctoral researchers have the following rights and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
should possess a doctoral degree in Educational Measurement, Psychometrics, Quantitative Psychology, Statistics, or a related field. They should have a deep familiarity with modern test theories, and a
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The post-doctoral fellow will work with an interdisciplinary team of PIs and Co-Is within the Schulze Diabetes Institute. The projects focus on deep profiling of immune pathways that contribute
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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expertise in deep learning including experience with libraries such as Pytorch Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly