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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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Engineer V - Electrical and Computer Engineering (ECE) Posting Number req25745 Department Electrical and Computer Engr Department Website Link https://engineering.arizona.edu/majors/electricalcomputer
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Apply Now How to Apply As a single PDF document, please submit the following materials to Interfolio (https://apply.interfolio.com/184608 ): A cover letter that addresses your specific interest in
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Apr-26 Location: Richardson, Texas Categories: Academic/Faculty Computer/Information Sciences Internal Number
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Teaching duties will
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, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing, or machine learning) Experience working with
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Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
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performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and
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of quantum mechanics and statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with
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) non-tenure system faculty at the rank of Assistant Professor of Instruction to teach undergraduate and/or graduate lecture and lab-based courses in biological sciences. The Department of Biological