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Johnson & Johnson - Study Feasibility Program
Open for Registration- Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
- Lab time: To-be-determined: 00:00:00 - 00:00:00 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: To-be-determined: 00:00:00 - 00:00:00 ET
- Lab time: To-be-determined: 00:00:00 - 00:00:00 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: To-be-determined: 00:00:00 - 00:00:00 ET
- Lab time: To-be-determined: 00:00:00 - 00:00:00 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.
Superfluid DX - Translational Data Science for Circulating Cell Free mRNA RNA-Seq Classifier for Alzheimer's Disease
Open for Registration NDMN/IDM ONLINE- Lecture time: Friday: 17:30:00 - 18:20:00 ET
- Lab time: Monday: 17:30:00 - 19:20:00 ET
- Domain: Health
- Keywords: Alzheimer's Disease, biology, Disease Detection, Machine Learning, mRNA RNA-Seq
- Tools: Biostatistics, Python, R
- Citizenship: Open to all students
Summary
Precision Medicine Diagnostics has transitioned to multi-analyte, machine learning generated classifiers for health and disease with unique regulatory challenges requiring data simulation to model reproducibility.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Research and Development
- Keywords: Food Desert, Food Equity, Food Insecurity, Pantry dESERT, Story Map, Sustainability
- Tools: Data Analytics, Data Visualization, Python, R
- Citizenship: Open to all students
Summary
This data mine project will expand on how to illustrate the concept of a pantry desert and better define the term. This project will use census tract data to identify the areas of highest need to better allocate resources to communities most impacted by pantry deserts.
Syngenta - Predictive Product Placement using Machine Learning
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Agriculture
- Keywords: Predictive Modeling
- Tools: Predictive Models, Python, Statistics
- Citizenship: U.S. citizens and permanent residents preferred
Summary
Strategically positioning our vegetable products at Syngenta in the most suitable markets is crucial for product success. Product performance is influenced by the combination of genetics, environment, and management practices.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, AI, cyber security, High Performance Compute, Machine Learning
- Tools: GitHub, Machine Learning, Neural Network, Python, Pytorch, Tensorflow
- Citizenship: U.S. Citizens Required
Summary
This project will serve as an exploratory effort into the use of AI to conduct automated cyber anomaly detection with the use of a generative adversarial network (GAN) architecture.
- Lecture time: Tuesday: 16:30:00 - 17:20:00 ET
- Lab time: Thursday: 16:30:00 - 18:20:00 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
PepsiCo - Mapping Environmental Risks
Closed for Registration- Lecture time: Friday: 10:30:00 - 11:20:00 ET
- Lab time: Monday: 09:30:00 - 11:20:00 ET
- Domain: Research and Development
- Keywords: Climate Change, Dashboard, Data Scraping, GIS, PowerBI, Predictive Analysis, Sustainability
- Tools: social listening
- Citizenship: Open to all students
Summary
Create dashboard that monitors predictions for upcoming week for: Floods, Drought, Freeze, Extreme heat, Rainwater quantity, Humidity and predictions for changes to the frequency or magnitude of weather, alerts, and local news.
Corteva - Climate Change Impact on Crop Yield
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Digital Agriculture
- Keywords: Agriculture, Climate Change, Crop Yield, Public data access, Weather Data
- Tools: Linux, Public Data Access, Python, R, Spatio-temporal analysis, Statistics
- Citizenship: Open to all students
Summary
Improve our understanding of potential climate change effects on business operations and agriculture in general.