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Management Performance Hub (MPH) - Assault Model Rebuild- Department of Correction
Closed for Registration- Lecture time: Thursday: 13:30:00 - 14:20:00 ET
- Lab time: Tuesday: 13:30:00 - 15:20:00 ET
- Domain: Government
- Keywords: Criminal Justice, Python
- Tools: Data Analytics, Machine Learning, Python, R, SQL
- Citizenship: U.S. Citizens Required
Summary
DOC transitioned to a new data system which required a new data structure. The transition requires DOC to rebuild its ‘Assault’ model. As a component of the rebuild, DOC would like to reassess the elements included and retrain the model for current data and outcomes.
Cross America - Image Analysis, Object Detection, and Pattern Recognition
Closed for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Community Center
- Keywords: Automation, Product Quality Assurance, Software Developement
- Tools: AI, Automation, Quality Control, X-Ray
- Citizenship: U.S. Citizens Required
Summary
We will need to create an efficient method to verify the quality of the assembled project to ensure it meets our quality standards. We will want every mailer examined, tested and verified in an automated system, like an x-ray system similar to what you see at airport security.
Frederick National Laboratory (FNL) - Analysis of Spatial Single-Cell Datasets
Open for Registration NDMN/IDM- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Biomedical Research
- Keywords: Analysis of Spatial Single-Cell, Biomedical Science, Clustering Algorithms, Shiny for Python, Software Engineering, Visualizations
- Tools: Command Line, GitHub, Python, R, VS Code
- Citizenship: Open to all students
Summary
To accelerate the pace of delivering tools to analyze spatial single-cell datasets by leveraging the contributions of students and to contribute to the advancement of scientific knowledge and understanding in the field of single-cell biology and spatial analysis.
Barrios - Gateway and Lunar Surface Ops Visualization Tool
Closed for Registration- Lecture time: Thursday: 14:30:00 - 15:20:00 ET
- Lab time: Tuesday: 13:30:00 - 15:20:00 ET
- Domain: Aerospace
- Keywords: Computer Science, Engineering Analysis, Project Management
- Tools: CAD, GUI Design, Unreal Engine
- Citizenship: U.S. Citizens Required
Summary
It is challenging to plan and train for Artemis missions in and around the Moon without a life-like mockup or AR/VR/XR model. This tool would enable Barrios to support NASA Astronauts and Mission Control personnel to plan and train for Gateway and Artemis Lunar Surface missions.
Barrios - Mission Integration and Ops Data Solutioning
Closed for Registration- Lecture time: Thursday: 14:30:00 - 15:20:00 ET
- Lab time: Tuesday: 13:30:00 - 15:20:00 ET
- Domain: Aerospace
- Keywords: Business Management, Computer Science, Project Management
- Tools: Data Analytics, Data Engineering
- Citizenship: U.S. Citizens Required
Summary
Data sprawl at NASA is a challenge with different organizations/programs documenting key data needed for decision-making in different repositories using different technologies. We need a way to quickly query the available data and display relevant data to decision makers.
Raytheon (RTX) - Signal Analysis
Closed for Registration- Lecture time: Friday: 14:30:00 - 15:20:00 ET
- Lab time: Monday: 14:30:00 - 16:20:00 ET
- Domain: Aerospace
- Keywords: Machine Learning, Radio Frequency, Signal Analysis, Signal Processing
- Tools: Machine Learning, Python
- Citizenship: U.S. Citizens Required
Summary
We are seeking to develop machine learning algorithms to find signals and learn to classify the signals as either man-made origin or natural phenomena.
Johnson & Johnson - Study Feasibility Program
Open for Registration- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Pharmaceutical
- Keywords: Analytics, Clinical Trials, Data Science, Hematology/Oncology, Medical Affairs, Statistical Analysis
- Tools: Data Analytics, Data Visualization, Excel, Statistics, Tableau
- Citizenship: Open to all students
Summary
The student will deliver analytic projects using various healthcare datasets intended to inform Medical Affairs strategy for the hematology portfolio. The student will have an opportunity to utilize analytic techniques and build algorithms/models to answer key business questions.
Johnson & Johnson - Dashboard Creation
Open for Registration- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Pharmaceutical
- Keywords: Big Data, Dashboard, Data Analysis, Data Analytics, Data Science, Data Visualization, Hematology/Oncology, Medical Affairs, Strategy
- Tools: Data Analytics, Data Visualization, Excel, Spotfire, Tableau
- Citizenship: Open to all students
Summary
The J&J Innovative Medicine Hematology team is looking to create a series of project dashboards that can convey to multiple stakeholders how our team is tracking against various projects...
Johnson & Johnson - Real World Analytics
Open for Registration- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Pharmaceutical
- Keywords: Analytics, Big Data, Data Science, Data Visualization, Hematology/Oncology, Medical Affairs, Predictive Modeling
- Tools: Databricks, Git, GitHub, Python, R, SQL, Statistics, Tableau
- Citizenship: Open to all students
Summary
The student will deliver analytic projects using various healthcare datasets intended to inform Medical Affairs strategy for the hematology portfolio. The student will have an opportunity to utilize analytic techniques and build algorithms/models to answer key business questions.
- Lecture time: Tuesday: 10:10:00 - 11:00:00 ET
- Lab time: Thursday: 09:00:00 - 10:50:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Data Analytics, Python, Radio Frequency, Satellite, Space
- Tools: Data Analytics, GitHub, Python, R
- Citizenship: U.S. Citizens Required
Summary
Satellite constellation operators frequently experience interference to links between satellites and ground. Students will analyze data related to downlink jamming and other interference. In addition, will characterize interference and provide descriptive reports