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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
and experimental, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure
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pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [(https://www.ucop.edu/academic-personnel-programs/_files/2026-27/represented-oct-2026
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and
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/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a
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School provides a supportive and collaborative research environment, with strong NHS partnerships and a commitment to equality, diversity and inclusion. You will have: A PhD, or equivalent in a relevant
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natural language processing (orthography normalization, grammatical error correction, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its
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%). Requirements For this position we need an individual with the following qualifications: PhD in Food Science or Engineering, Chemical Engineering or Mechanical Engineering Sound background in engineering or
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross