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Job Description Apply now Req Id: 34197 Job Title: Post-Doctoral Research Assistant - Computation Fluid Dynamics, CIVS City: Hammond Job Description: Job Summary Purdue University Northwest (PNW
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communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra
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Purdue’s strategic focus on health equity and population health. Program Goals and Learning Objectives The fellow will gain experience in: Designing and conducting pharmacoepidemiologic studies in cancer and
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: (1) letter of application that includes description of your research interests and experiences, 2) curriculum vitae, (3) a writing sample in English. In addition, candidates should list the names and
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includes description of your research interests and experiences, 2) curriculum vitae, (3) a writing sample in English, and (4) a writing sample in Korean. In addition, candidates should list the names and
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includes description of your research interests and experiences, 2) curriculum vitae, (3) a writing sample in English, and (4) a writing sample in Japanese. In addition, candidates should list the names and
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. The College of Liberal Arts, home to the Dunn Lab, is an emerging leader in innovative education, offering nationally recognized programs like the Cornerstone Integrated Liberal Arts program, Degree+, and the
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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, offering nationally recognized programs like the Cornerstone Integrated Liberal Arts program, Degree+, and the Degree in 3 initiative. These programs enhance Purdue’s renowned STEM education by pushing all
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning