Intern Under
Assistant Professor

Cse

The ICFAI University, Ranchi

AI for Psoriasis Prediction Research Mate Internship

Field of Internship

Computer Science

Research Area of Internship

Artificial intelligence and Machine learning

About Internship

Assistant Professor from The ICFAI University, Ranchi, is accepting interns interested in the field of Computer Science, in the research area of Artificial intelligence and Machine learning.

This internship involves research work on predicting psoriasis using artificial intelligence. Interns will work on a project that integrates early-stage biomarkers, comorbidities, and pathological features to support psoriasis prediction. The project focuses on addressing diagnostic multimorbidity by combining clinical and pathological indicators. A Collaborative Learning Agent framework, tuned using the Sparrow Search Algorithm, will be used for feature selection and predictive modelling. Key Responsibilities will include: 1. Working with data related to psoriasis and associated comorbidities 2. Supporting feature selection for predictive modelling 3. Assisting with implementation of the AI-based prediction framework 4. Contributing to analysis and documentation of results

Desired Skills/Techniques

Data Analysis, Reading and Writing, Biostatistics, Bioinformatics,

Who is eligible?

High-schoolers, 12th pass-outs, gap year and diploma students.

Mode of the Internship

Virtual

Open Positions

The number of interns being selected is flexible and dependent on the quality of applications for this Internship.

Internship Duration

3 Months

Paid/Unpaid

UnPaid

Application opens on

Available round the
year

Application Deadline

Available round the
year

Starting date of Internship

Available round the
year

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