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The Lester B. Pearson International Student Scholarships
Brief Description:
The Lester B. Pearson International Scholarship Program at the University of Toronto is intended to recognize international students who demonstrate exceptional academic achievement and creativity and who are recognized as leaders within their school. A special emphasis is placed on the impact the student has had on the life of their school and community, and their future potential to contribute positively to the global community. Awarded annually, these scholarships recognize outstanding students from around the world, including international students studying at Canadian high schools. This is U of T’s most prestigious and competitive scholarship for international students.
Course Level: Scholarship is available for pursuing undergraduate Program
Grants: The Lester B. Pearson International Scholarships will cover tuition, books, incidental fees, and full residence support for four years. The scholarship is tenable only at the University of Toronto.
Subject(s): Scholarships are awarded in Accounting, Applied Mathematics, and Architectural Studies
Eligibility:
- An international student nominated by their school will be invited to submit an application to the Lester B. Pearson International Scholarship program.
- an international student
- an original and creative thinker
- committed to school and community
- a high achiever in academic and creative pursuits
- enthusiastic about learning and intellectual exploration
- have demonstrated strong leadership skills
- intending to begin university in the upcoming academic year (students already attending post-secondary studies cannot be considered)
Deadline: October 18th, 2024
For more detail about eligibility and how to apply, please visit:
https://future.utoronto.ca/pearson/about/#about
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Two PhD positions in AI for medical imaging at Technical University of Munich
Description: The research group AI for Vision focuses on blue-sky research in the fields of (1) machine learning for medical image analysis, (2) weakly and self-supervised learning to address data scarcity in healthcare, and (3) the integration of multimodal clinical data with medical images. It is particularly interested in the application of machine learning and computer vision algorithms in the field of ophthalmology.
The group is led by Dr. Martin Menten and is funded by the Emmy Noether-Program of the German Research Foundation. It is integrated with the Institute for AI in Healthcare and Medicine, directed by Professor Daniel Rueckert, and is based at the Faculty of Informatics at the Campus Garching as well as the Campus Klinikum Rechts der Isar, the university hospital of TUM.
Offering
We are currently seeking two PhD candidates to join our international team of scientists from the fields of machine learning, computer vision and medical imaging. We offer the ability to work on exciting research projects, access to large multimodal datasets and modern computer hardware. You will be employed via a full-time position (100%) as academic staff with the opportunity to pursue a doctoral degree. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L).
Profile
The ideal candidate would bring with them:
- A master’s degree in computer science or a related discipline
- Previous research experience, ideally resulting in a scientific publication, in medical imaging, computer vision or machine learning
- Excellent programming skills in Python and deep learning libraries such as PyTorch or TensorFlow
- Strong analytical and problem-solving skills
- Great communication and interdisciplinary skills
- Fluency in written and spoken English
How to apply
Please send your application, including a CV, transcripts, and a short research statement outlining the fit between you and our group as a single pdf file, to
office@aim.cit.tum.de
by 17 July 2024.
TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women
Deadline: 17 July 2024
Official website: https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20240627_161625
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PHD COMPUTER SCIENCE AND SOFTWARE ENGINEERING
Description: Xi'an Jiaotong-Liverpool University provide high-calibre, discipline-specific training that takes advantage of Xi’an Jiaotong-Liverpool University’s distinctive international features and vibrant research environment. The programme, based at XJTLU, is strategic research collaboration between XJTLU and the University of Liverpool. Upon successful completion of programme student will receive a University of Liverpool-issued degree, which is recognized by China’s Ministry of Education.
Course Level: PhD,
Grants: The scholarship application is open only to those applying for full-time doctoral programmes.
1) Apply for a scholarship for a funded PhD project
One option is to apply for an existing PhD project that has received funds from the University or external funding bodies. The research topic and supervisory team for these projects have already been established.
There is no specific application deadline for a project, as it will remain open until the position is filled. The start date of a PhD programme is usually the first day of March, June, September, or December. You can visit the Postgraduate Research Scholarships Page for information about the specific PhD projects available or to contact potential supervisors to discuss funding opportunities.
2) Apply for a postgraduate research scholarship with your own project
You can also apply for a scholarship with your own project. With this option, there will be two application rounds each academic year:
Research areas:
- Computer science and software engineering: high-performance computer systems, storage systems, network systems, software engineering, cloud computing, generalised human-computer interaction, internet theory and technology, intelligent network learning environment theory and technology, computer network security, dynamic trust management theory, new-generation programming methodology, parallel computing, data mining, pattern recognition, computer vision, distributed computing, pervasive computing, deep learning, generative models, medical image processing;
- Artificial intelligence (AI) and big data: AI, transformative AI, generative AI, decision intelligence and AI knowledge representation, human centred and collaborative AI, edge AI and distributed enterprise, embedded intelligence, big data, data science, machine learning;
- Internet of Things (IoT): IoT, software architecture for IoT, semantic web of things (SWoT), IoT for smart cities, analytics for IoT, artificial intelligence IoT, application-specific IoT, internet of vehicles, edge computing, fog computing, edge AI and embedded intelligence, security for IoT, IoT network design and architecture, IoT network protocol, IoT-enabled software architectures and middleware, human-computer interaction in IoT, data trading in IoT; and
- Intelligent robotics and related technologies: robots and robot control, human-robot interaction, computer graphics, machine vision, optimisation theories.
Deadline: 15 October 2024.
Official website: https://www.xjtlu.edu.cn/en/study/doctoral/computer-science-and-software-engineering
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