Past Events

Winter Admissions Selection 2022

2022-01-24 to 2022-02-11
Online

Online Admissions Selection for shortlisted PhD applicants from January 24th to February 11th, 2022.

Information sessions about PhD program, faculty talks and interviews all via zoom.

The event is targeted towards shortlisted applicants for our PhD program.

Please contact phd-selection@oist.jp for further details. 

 

Mini Course: Speeding up MATLAB (by MathWorks) 2 of 2

2022-01-14
B701, Computer Lab, Lab 3.

This Mini Course will be taught by engineers from MathWorks, the company developping MATLAB. The focus will be on accelerating MATLAB code, using different approaches: better general coding practices, using the Parallel Computing Toolbox, and using Deigo's resources.

◆Target audience
This course is suitable for people with some experience with MATLAB. Ideally, the participants will already have some code that they are interested in speeding up.

Mini Course: Speeding up MATLAB (by MathWorks) 1 of 2

2021-12-17
B701, Computer Lab, Lab 3.

This Mini Course will be taught by engineers from MathWorks, the company developping MATLAB. The focus will be on accelerating MATLAB code, using different approaches: better general coding practices, using the Parallel Computing Toolbox, and using Deigo's resources.

◆Target audience
This course is suitable for people with some experience with MATLAB. Ideally, the participants will already have some code that they are interested in speeding up.

OIST NetCafé (Online Information Session) in December 2021

2021-12-03
Online

This session will be in Japanese. The program will start off with OIST general introduction, PhD & Research Internship admission process, financial support and student life followed by the panel discussion by 2 OIST PhD students.

[CV workshop] - Creating an impressive academic CV

2021-12-02
Seminar Room Lab4, L4E01

[CV workshop] - Creating an impressive academic CV

"Creating an impressive academic CV" workshop where you will discover strategies to design a more focused, relatable, and readable CV.

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