8 post-doc-machine-learning Postdoctoral positions at University of Southern California
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. The position term is for a minimum of 1 year and a maximum of 3 years, with a start date between July, 2025 and August, 2026. To apply, please send a cover letter/statement of research interests, curriculum
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, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication
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will engage the campus community on issues of civil society and social change. Teach one course in the department of Sociology. Preferred Qualifications: Possess strong communication skills to work
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degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization
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) contact information for three references. Your materials may be uploaded as separate files or as one file. All documents are required for consideration. Job openings are posted for a minimum of (5) five
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desirable, but not necessary. Experience in conducting genetic epidemiologic research and analyzing large genetic datasets is also a plus, but not necessary. Passion to learn about human genetic research and
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genetic approaches to understand the post-transcriptional gene regulatory mechanisms in cardiovascular development, regeneration, and diseases. The position is for qualified candidates who wish to pursue a
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, and/or molecular biology. Interested candidates should send their CV and a list of three references to Dillon Cogan at dcogan@usc.edu. The annual salary for this position is $68,640. When extending