FAQs
What is the main focus of the internship?
The main focus of the internship is to receive training on machine learning algorithms, implementing them, and fitting them on datasets in our cluster computers, with a strong emphasis on genomic data science.
What qualifications do I need to apply for this internship?
You must be enrolled in high school, be a high school graduate (or equivalent secondary education), or be enrolled in an institution of higher education.
What programming languages are preferred for this internship?
Strong programming skills in Python and R are preferred, as the intern will implement machine learning algorithms using these languages.
Will I receive training during the internship?
Yes, the intern will receive training on machine learning algorithms and their application in genomic data science.
What type of support will the intern provide to the department?
The intern will provide temporary administrative or laboratory support while gaining practical work experience.
Is there a possibility for continuing work after the internship?
The job description does not specify the possibility of continuing work after the internship, as it is primarily for temporary support.
Does the internship involve working with datasets?
Yes, the intern will implement machine learning algorithms and fit them on specific datasets identified by the Principal Investigator (PI).
Are there any specific skills that would enhance my application?
Strong programming and computer science skills are preferred qualifications that would enhance your application.
Is there a specific field of study that is required for this internship?
While there is no specific field of study required, having a background or interest in data science, programming, and machine learning would be beneficial.