GPU computing with Julia 2 of 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

[PhD Thesis Presentation_Zoom] - Mr. Kun-Lung Li - "A Study of Horizontally Transferred Glycosyl Hydrolase Family 6 Genes in Tunicate Genomes"

PhD Public Presentations                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

GPU computing with Julia 1 of 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

OIST NetCafé (大学院説明会) 2021年8月

言語は日本語で行われます。OISTの博士課程やリサーチインターン、それぞれの出願プロセス、入学後の流れ、経済支援、大学院生活などが紹介され、ゲストスピーカーとして、OISTの現役博士課程学生2名が登壇します。パネルディスカッションでは参加者が直接学生に質問ができます。

[PhD Thesis Presentation_Zoom] ‐ Dong Cao – "Investigation of Circular RNA Regulation by Cis and Trans Elements in Caenorhabditis Elegans"

PhD Public Presentation 

[PhD Thesis Presentation_Zoom] ‐ Andreas Thomasen – “Topology of Band-Like Excitations in Frustrated Magnets and Their Experimental Signatures"

PhD Public Presentation

Elm 4 of 4

Elm is A delightful language for building reliable web applications. It is a language that: has no runtime exceptions, makes refactoring easy, is easy to read, has friendly error messages and is fast. Elm is a functional language for front-end programming that compiles to JavaScript.

◆Target audience
This course is suitable for anyone with basic programming experience. No web experience required. 

Mini Course: Algebraic geometry and topology of neural codes 4 of 4

This course will incorporate some “flipped classroom” content. There is a short video you should watch before coming to each session plus an optional reading.

◆Target audience
The course is explicitly multi-disciplinary in its content, being a blend of neuroscience and mathematics. However, no prior knowledge in either discipline is expected or necessary and anyone interested is welcome to join.

Mini Course: Algebraic geometry and topology of neural codes 3 of 4

This course will incorporate some “flipped classroom” content. There is a short video you should watch before coming to each session plus an optional reading.

◆Target audience
The course is explicitly multi-disciplinary in its content, being a blend of neuroscience and mathematics. However, no prior knowledge in either discipline is expected or necessary and anyone interested is welcome to join.

OIST NetCafé (大学院説明会) 2021年6月

STEM分野で博士課程やリサーチインターンシップに興味がある人を対象としたセッションです。言語は英語で行われます。OISTの博士課程やリサーチインターン、それぞれの出願プロセス、入学後の流れ、経済支援、大学院生活などが紹介され、ゲストスピーカーとして、OISTの現役博士課程学生2名が登壇します。そのうち1名はOISTでリサーチインターンシップの経験者。今回は物理学と脳神経科学を専門とした2名が登壇しますが、それ以外の分野の方も、もちろん歓迎です！