Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
-
and/or Python for data cleaning and transformation • Familiar with Purdue’s undergraduate science programs • Working knowledge of Tableau or experience in data visualization or a desire to learn
-
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
-
of 2025. Required Qualifications: Experience with JavaScript and Python Experience with front-end web frameworks Preferred Qualifications: Experience with working with geospatial data Experience with a
-
. 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
-
using Linux/Unix systems required. * Experience using scripting languages such as Python and Matlab. * Familiarity with relational databases and SQL required. Preferred: * Familiarity with web languages
-
a preference for expertise in MATLAB and Python. Expert in Microsoft tools, Excel especially, in an engineering environment. Demonstrate openness to learning and a teachable demeanor, with a readiness
-
For: Bachelor’s degree in psychology, cognitive science, neuroscience, computer science, or a related field Experience with computer programming for data analysis (e.g., Python, MATLAB, R) Skills needed: Ability
-
fields related to Computer Science, Software Engineering, or a related field. Proficiency in programming languages such as Rust, Python, and C++. Proficiency with Git source control. Experience with Linux
-
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