12 programming-language-"Nova-School-of-Science-and-Technology" PhD positions at Purdue University
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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sciences, human development, speech and/or language, neuroscience, biostatistics or a closely related field Commitment to supporting an inclusive and diverse laboratory environment Exceptional communication
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opportunities for grant writing and collaborative writing projects are also possible. Qualifications Ph.D. in psychological sciences, human development, speech and/or language, neuroscience, biostatistics or a
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independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling
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a Ph.D. degree in Aerospace Engineering or a related discipline by the employment start date and demonstrate potential to build an independent research program with externally funded research
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Management (CUIPM ) which is nationally recognized for leadership in urban entomology. The position will synergize a number of related urban entomology faculty and programs at Purdue and engage with
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this competitive advantage, the Center is seeking a self-directed candidate to develop an internationally recognized program of scholarly research and outreach in farm management and production economics. The person
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. The successful candidate will be responsible for development of an internationally recognized and extramurally funded research program addressing this critical issue. Key responsibilities will include assessment
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization