Sort by
Refine Your Search
-
Ph.D. in science (chemistry, physics, biology, etc.) or engineering required 7+ years of experience in computational physics or related area Proven experience coding in C/C++, Fortran, and/or Python
-
preferred. Interest or expertise in single-cell and limited sample proteomics is highly desirable. Knowledge of R or Python coding would be desirable but not necessary. Applicants must include the following
-
/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
-
Proficiency with high-level object-oriented programming and scripting languages, such as Python, C++, Java Experience with high-performance computing environments. Understanding and experience with Python
-
enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL, Excel, and statistical analysis software such as R Expert
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
-
forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems
-
analytical teams and complex projects Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL
-
Demonstrated expertise of Microsoft business programs (e.g., Outlook, Excel, Word, Power Point) Demonstrated experience utilizing data warehouse, data analytics, and reporting tools (e.g., Cognos, SQL, R, Python