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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
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Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system
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photophysics under conditions simulating those of the interstellar medium. Structural characterization, electronic absorption, electronic fluorescence, and recurrent fluorescence are studied through in situ
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Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
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oversight for development, review, and implementation of financial and human resource policies and procedures. More information can be found at: https://studentsuccess.ucsc.edu/division/units/budget/ JOB
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in data analysis, mathematical modeling/computer simulation, and best practices in rigorous and reproducible science. The appointee will play a central role in developing, evaluating, and refining
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
simulations, neutrino physics, statistical inference, detector modeling, or large-scale computing frameworks is highly desirable. Applicants should submit the following: • Cover letter • Statement of research
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-Doctoral Associate (PDA) to engage in cutting-edge research on channel modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and