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Được viết: 09 Tháng 12 2024

Cập nhật lần cuối: 09 Tháng 12 2024

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As alumni of the University of Science, VNU-HCM, the management of Onemind Solution is eager to support the university by providing students with internship opportunities, exposing them to real-world work environments, and enhancing their professional skills for post-graduation success.

Internship Details

• Content:
  Interns will undertake assigned projects and participate in real-world company initiatives, including:

  • Designing, configuring, and deploying wired and wireless network systems and server room equipment.
  • Applying IT operational standards for corporations, enterprises, and hotels.

• Eligibility:

  • Final-year students recommended by their department/university.
  • Students conducting projects on computer networks or ICT/ELV systems.

• Duration:

  • Each term lasts 3–6 months, depending on the assigned project.
  • Each term accommodates 5 students.

• Location:

  • 11, Street 2, Cư xá Đô Thành, Ward 4, District 3, Ho Chi Minh City.

Requirements for Applicants

• Must be a student of the University of Science, VNU-HCM.
• Possess an official recommendation letter from the university's Student Affairs Office.
• Demonstrate honesty, diligence, and a high sense of responsibility.
• Exhibit a strong desire to learn and improve.
• Have teamwork and independent working skills.
• Comply with administrative and operational regulations of the company during the internship.

Benefits for Interns

• Access to the latest devices and technologies in light current systems and system integration.
• Guided support from company staff and certification of project completion or internship completion upon conclusion.
• Monthly financial support of 1,000,000 VND for travel and living expenses.
• Opportunity to become a full-time employee at Onemind Solution if performance is excellent.

Contact Information:
Onemind Solution Co., Ltd.

• Human Resources Contact: Mr. Lê Chí Dũng
• Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
• Phone: 0908 724990

Chi tiết

Chuyên mục: English

Được viết: 02 Tháng 12 2024

Cập nhật lần cuối: 02 Tháng 12 2024

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Chi tiết

Chuyên mục: English

Được viết: 05 Tháng 12 2024

Cập nhật lần cuối: 11 Tháng 12 2024

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Professor Jialiang Li, from the Department of Statistics and Data Science and the Duke-NUS Graduate Medical School at the National University of Singapore, is a renowned researcher specializing in threshold models, structural equation modeling, personalized and diagnostic medicine, model averaging, data smoothing, statistical machine learning, and survival analysis. An elected member of the International Statistical Institute (ISI) and a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), he has received accolades such as Singapore's Research Talent Award. Professor Li has published extensively in leading journals and serves as an editor for esteemed publications like the Annals of Applied Statistics, Biometrics, and the Annual Review of Statistics and Its Application.

Seminar Details:

• • Title: Robust Model Averaging Prediction of Longitudinal Response with Ultrahigh-dimensional Covariate
  • Speaker: Professor Dr. Jialiang Li
  • Time: 02:00 PM, Saturday, December 12^nd, 2024.
  • Venue: Room C.41, University of Science, VNU-HCM.
    (227 Nguyen Van Cu Street, Ward 4, District 5, Ho Chi Minh City)

Abstract:

Model averaging is an attractive ensemble technique to construct fast and accurate prediction. Despite of having been widely practiced in cross-sectional data analysis, its application to longitudinal data is rather limited so far. We consider model averaging for longitudinal response when the number of covariates is ultrahigh. To this end, we propose a novel two-stage procedure in which variable screening is first conducted and then followed by model averaging. In both stages, a robust rank-based estimation function is introduced to cope with potential outliers and heavy-tailed error distributions, while the longitudinal correlation is modeled by a modified Cholesky decomposition method and properly incorporated to achieve efficiency. Asymptotic properties of our proposed methods are rigorously established, including screening consistency and convergence of the model averaging predictor, with uncertainties in the screening step and selected model set both taken into account. Extensive simulation studies demonstrate that our method outperforms existing competitors, resulting in significant improvements in screening and prediction performance. Finally, we apply our proposed framework to analyze a human microbiome dataset, showing the capability of our procedure in resolving robust prediction using massive metabolites.

Keywords: Robust statistics; Longitudinal model; high-dimensional model

Registration:

We kindly invite faculty members, PhD candidates, graduate students, and undergraduate students to participate.
Register here!

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Được viết: 21 Tháng 11 2024

Cập nhật lần cuối: 26 Tháng 11 2024

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WorldQuant Office Tour Event

WorldQuant is a company specializing in developing and deploying systematic financial strategies across various asset classes and global markets. It seeks to generate predictive signals (alphas) through its proprietary research platform to implement financial strategies that capitalize on market inefficiencies.

On December 4, 2024, WorldQuant will host an Office Tour Event to welcome outstanding students from the Faculty of Mathematics and Computer Science to its office. The event will offer insights into WorldQuant, the field of quantitative finance, internship opportunities for 2025, and the chance to network with experienced researchers working at the company.

Details of the Office Tour Event are as follows:

• Time: 3:00 PM – 5:00 PM, Wednesday, December 4, 2024
• Location: Saigon Centre Building, 67 Le Loi Street, Ben Nghe Ward, District 1, Ho Chi Minh City
• Expected number of participants: 25-30 students

Register now: Click here to register

Priority Criteria:

• Third- or fourth-year students from the Faculty of Mathematics and Computer Science with an interest in quantitative finance.
• Students in the Honors Program or with a GPA > 3.2/4.
• Preference will be given to students with awards from national or international academic competitions.
• Preference will also be given to students with published scientific research.

Registration: until November 29, 2024.