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in the one of the relevant fields. Preferred Skills: Strong skills in data analysis and database management; statistics and programming knowledge preferred (e.g. R/R Studio, SAS, Stata, SQL, Python
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& simulation Bayesian networks & uncertainty quantification ML frameworks (PyTorch, TensorFlow, Hugging Face, OpenCV) & Python Automated pipelines for multi-modal data Continuous, bi-directional data flow
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
] - ORISE Recommendation Request - [your email]", from Zintellect@orau.org. This email will include information on the opportunity to which you have applied, as well as a secure link to submit a
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
"[Your Name] - ORISE Recommendation Request - [your email]", from Zintellect@orau.org. This email will include information on the opportunity to which you have applied, as well as a secure link to submit a
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 19 hours ago
you submit your application. Your recommenders will receive an email with a subject line of "[Your Name] - ORISE Recommendation Request - [your email]", from Zintellect@orau.org . This email will
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 19 hours ago
you submit your application. Your recommenders will receive an email with a subject line of "[Your Name] - ORISE Recommendation Request - [your email]", from Zintellect@orau.org . This email will
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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others
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(biostatistics, epidemiology, health, or population sciences). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python