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. Increasingly the research groups in the Department and the School are interdisciplinary. In this recruitment call we are interested in growing our team in Computational Engineering in the context of AI and Deep
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-Island/Regulatory-Advisor_REQ207232 Job Description: About Brown Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students
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of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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communication skills and a deep understanding of donor engagement. The successful candidate will have a proven track record of successful collaborations with colleagues across departments, divisions, or Schools
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university’s senior leadership team. Deep knowledge of career and academic pathways with a focus on workforce alignment and student success. Commitment to creating a learning environment where all students and
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origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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concepts and theories. We focus on three areas: strategy and technology (in particular, deep tech such as AI, robotics, biotech), strategy and global contexts, and the theory of the firm (see
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers