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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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Susquehanna International Group, Quantitative Research Program ID: SIG -DD26 [#27016] Program Title: Discovery Program: PhD + Postdoc (On-site) Program Type: BEGIN Program Location: Bala Cynwyd
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two full years of a PhD program in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Machine Learning, Operations Research, or Economics. Please
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Graduate Student Services Specialist II. This position provides comprehensive recruitment/admissions and advising support for the Ivy PhD Program and professional master’s programs in a multi-function, high
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initiatives to strengthen data science and bioinformatics research capacity. PhD in Bioinformatics, Computational Biology, Biostatistics, Computer Science, or a related discipline. Demonstrated expertise in
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
the development and implementation of two courses in the PhD in Health Sciences program, HSCI 7003 Methods and Evaluation and HSCI 7203 Ethics in Clinical Research . This position will begin as soon as possible
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ACADEMIC PROGRAM COORDINATOR, College of Engineering, Mechanical Engineering Job Description ACADEMIC PROGRAM COORDINATOR, College of Engineering, Mechanical Engineering Category Charles River Campus
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Associate Professor position in the appointment stream. We seek a dynamic and accomplished investigator whose research advances understanding of reproductive biology, sexual health, gender-based health
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Associate Professor position in the appointment stream. We seek a dynamic and accomplished investigator whose research advances understanding of reproductive biology, sexual health, gender-based health
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
(RLE). This role focuses on original research in materials science and fabrication engineering for quantum computing, particularly using a new 200-mm multi-chamber MBE system and existing tools in MIT