Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Campus location
Thuwal, Saudi Arabia
Campus location
Thuwal, Saudi Arabia
Taught in
English
Taught in
English

About

This Predicting Bacterial Antimicrobial Resistance Phenotypes from Genomic Biomarkers (Internship) project from King Abdullah University of Science and Technology (KAUST) involves integration of genomic and phenomic data, generated by high throughput phenotypic assays using an off-the-shelf machine learning method.

Visit programme website for more information

Overview

The Infectious Disease Epidemiology lab of Prof. Danesh Moradigaravand is looking for student interns to work on a range of projects on the intersection of machine learning and microbial genomics. They are interested in understanding the evolution and epidemiology of antimicrobial resistance strains recovered from natural sources, including clinical and environmental sites. Antimicrobial resistance is a global health threat, expected to become a leading cause of deaths worldwide within the next three decades. 

Key Facts

The student of this Predicting Bacterial Antimicrobial Resistance Phenotypes from Genomic Biomarkers (Internship) project from King Abdullah University of Science and Technology (KAUST) will implement an entire predictive pipeline and deploy the model as a data science solution. The project helps student gain hands-on experience of programming, next generation sequencing data analysis and machine learning.

Programme Structure

  • Develop and deploy a machine learning pipeline Disclose a database of predictive biomarkers for antimicrobial resistance Contribute to relevant publications.

Key information

Duration

  • Part-time
    • 3 months

Start dates & application deadlines

You can apply for and start this programme anytime.
More details
  • Application deadline: All year around

Language

English
PTE Academic
62
IELTS
6.5

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Delivered

On Campus

Campus Location

  • Thuwal, Saudi Arabia

What students do after studying

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Academic requirements

GPA admission requirements GPA
3.5

English requirements

PTE Academic
62
IELTS
6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation
Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

  • Trusted by 300k learners
  • 98 accuracy using real exam data
  • 4.9/5 student rating

Other requirements

General requirements

  • Undergraduate students in 3rd year or above and master’s students.
    • Minimum GPA: 3.5/4
    • Curriculum Vitae (CV)
    • Statement of purpose
    • Contact details of 3 referees
    • Official English language test score

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

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Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at King Abdullah University of Science and Technology (KAUST) and/or in Saudi Arabia, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Domestic

    Citizens or residents
    Free

Additional Details

  • This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000. 

Living costs

Thuwal

Saudi Arabia
2270 - 3445 SAR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Predicting Bacterial Antimicrobial Resistance Phenotypes from Genomic Biomarkers (Internship)
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King Abdullah University of Science and Technology (KAUST)

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