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. Experience with ANSYS Fluent, STAR-CCM, and/or FORTRAN and Python programing languages are preferred. Experience in using High Performance Computing (HPC), especially involving use of a Linux environment, is
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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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: (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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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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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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modeling. Contribute to and drive forward the project’s work plan and study goals. Ideal Candidates: The ideal candidate will hold a Ph.D. in Biology, Biochemistry, Epidemiology, Genetics, Genomics
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of the largest and highest ranked Speech-Language Pathology programs in the country. The Department is diverse and collegial and includes a thriving interdisciplinary community of top-notch researchers and
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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