Sort by
Refine Your Search
-
or Masters of Engineering degree. Candidates are expected to be fluent in electrical circuit design, microcontroller programming, optical design, and Python programming. Introductory (or higher
-
. Preferred skills: Demonstrated expertise in bioinformatics and computational biology (e.g., genomics, transcriptomics, proteomics). Proficiency in scripting/programming (Python, R, Bash, or similar
-
as part of a team. Experience with programming languages such as Matlab or Python is a plus. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment
-
) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
-
in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
-
applications including R, python and GitHub Strong background in and knowledge of remote sensing with a variety of data sources Experience with USDA Forest Service Forest Inventory and Analysis (FIA) data
-
data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay Questions (goals
-
audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
-
received within five years of the appointment start date. Highly competitive applicants will have education and/or experience in one or more of the following: Familiarity with Python or R and their related
-
development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision