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Healthcare Analytics Faculty Member
1 week ago
The faculty member will be responsible for teaching, research, and industry collaboration in AI and data science applications in healthcare. They will contribute to developing course curricula, mentoring students, and conducting workshops.
Required Skills and Qualifications:
- Supervised & Unsupervised Learning (e.g., Decision Trees, SVM, K-Means, Neural Networks)
- Deep Learning & Neural Networks (CNN, RNN, Transformers, BERT for NLP)
- Natural Language Processing (NLP) (Text mining, Clinical text processing, Sentiment Analysis)
- Computer Vision & Image Processing (Medical Imaging, Radiology AI, Image Segmentation)
- Statistical Analysis & Predictive Modeling (Hypothesis Testing, Regression Analysis)
- Big Data Analytics & Processing (Hadoop, Spark, No SQL)
- Data Wrangling & Visualization (Power BI, Tableau, Matplotlib, Seaborn)
- Health Informatics & EHR Analytics (FHIR, HL7 Standards)
- Python (Scikitlearn, Tensor Flow, Py Torch)
- R (Data Science & Statistical Modelling)
- SQL & Database Management (Postgre SQL, Mongo DB)
- Cloud Computing (AWS, Azure, Google Cloud – AI & Healthcare APIs)