Overview
They have numerous projects where we work networks or graphs of various kinds, biological ones in particular. Networks can be undirected, directed with or without signs, discrete or continuous.
Key Facts
Challenges and sub-projects of the Machine Learning for Graphs (Internship) project at King Abdullah University of Science and Technology (KAUST) include:
- How to compare 2 and several networks, review, benchmark current methods, invent new efficient algorithms for network comparison
- Analyze networks embedded in hyperbolic space
- Review, benchmark current methods for embedding networks into an ML framework
- Generative modeling of networks constrained by correlational information from data-sets
- Partially overlapping networks, analyze their putative alignment, construction of multi-layer networks from several partially over lapping graphs.
- Search and propagation in multi-layer networks
- Alignment of several but different real protein interaction networks
Get more details
Visit programme websiteProgramme Structure
- Individual projects will be tailored and narrowly designed from the above palette according to interest of the student, technical proficiency, and level of study.
- They expect you to bring enthusiasm, creativity, and hard work give lab seminars on your work produce a final written report.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Application deadline: All year around
Language
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Delivered
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Computer Sciences Machine Learning View 61 other Short Courses in Computer Sciences in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
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
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Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
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
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
The KAUST Fellowship includes:
- Full coverage of tuition and bench fees (worth USD $35,000 per year)
- A monthly stipend (worth USD $20,000 per year for PG Diploma and M.S. students, and USD $25,000 to $30,000 for Ph.D. students depending on qualifications and academic progress)
- On-campus housing (worth USD $7,000 per year and covering utilities such as electricity and wifi)
- Health insurance (worth USD $1,450 per year)
- Relocation support (visa, relocation and travel costs)