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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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are encouraged to apply. Terms of employment include a competitive salary and benefits. The research focuses on the development of advanced functional materials and processes for sustainable water treatment and
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. For consideration, applicants must submit a cover letter, curriculum vitae, statement of research interests, transcript and contact information for referees, who may be contacted through the selection process. The
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contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center
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or degree, and the contact information for 2-3 referees, who may be contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead
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processing of long- distance dependencies in Jamaican Creole (among other phenomena). The successful applicant will work with the PI to design the experiments, develop the language materials, recruit
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on their scalability and practical application. Key responsibilities include builidng automated setups, designing devices, processing materials, conducting experiments, publishing high-quality research, and contributing
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underlying mental processing speed. The successful applicant will drive a fascinating project that links processing speed measures to previously acquired functional and structural MRI data. The project will
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and
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structure of Turkish. The project will explore both the grammar and processing of long-distance dependencies in Turkish (among other phenomena). The successful applicant will work with the PI to design the