26 programming-language-"St"-"University-of-St"-"St" research jobs at Purdue University
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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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Science, or related field Strong programming skills in Python Familiarity with AI/ML libraries such as HuggingFace Transformers, LangChain, or PyTorch Comfortable working with natural language datasets and
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scientific predictions. These activities will relate to the central goals of Otárola-Castillo’s laboratory research program on Paleoamerican Climate Change, Foraging Ecology, and Habitat Selection. This work
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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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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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, atomic force microscopy. Proven ability to develop new semiconductor process steps/flows leading to significantly improved device performance and/or enabling new device types. Excellent written and oral communication
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working
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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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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics