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  • Aug 05, 2024
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Applicants who hold a master's degree in a related field of work are encouraged to apply.

 

Related field of work:

 

- Research on the development and simulation of brain neural network models based on computational neuroscience

- Research on neural network models for brain structure-based AI implementation

- Writing academic papers

 

 

If you are interested, please contact to recruit@kaist.ac.kr

 

 

Application period : 24.08.05 14:00:00 ~ 24.08.19 23:59:59

 

For detailed information, please see the link below.

 

Link : https://www.kaist.ac.kr/kr/html/footer/0814.html?mode=V&no=66df56ee38be28256dd24505ab81a7b8&GotoPage=1

제목 날짜
19.01.04 Journal alert   2019.06.28
20.01.03 Journal alert   2020.01.03
20.03.20 Journal alert   2020.03.20
[Awards] Youngjin Park (M.S.) got the best poster presentation award in KSBNS 2018   2019.06.28
21.02.22 Journal alert   2021.02.22
20.05.22 Journal alert   2020.05.22
20.10.15 Journal alert   2020.10.15
21.05.28 Journal alert   2021.05.28
22.07.15 Journal alert   2022.07.15
[News] KAIST Breakthroughs 50 : Emergence of number sense in untrained neural networks   2021.09.02
20.07.11 Journal alert   2020.07.11
19.06.21 Journal alert   2019.06.21
[Awards] Woochul Choi (Ph.D Candidate) got the best poster presentation awards in 2018 KSCS conference   2019.06.28
[Awards] Jaeson Jang (Ph.D Candidate) got the best poster presentation award in OCNS 2017   2019.06.28
20.05.29 Journal alert   2020.05.29
20.01.10 Journal alert   2020.01.10
[Awards] Jaeson Jang (Ph.D.) received a Ph.D. Thesis Award for Excellence from Department of Bio and Brain Engineering in KAIST   2021.02.25
19.12.16 Journal alert   2019.12.16
[Positions] Vacancy announcement for post-doctoral position from VSNN lab in KAIST   2020.04.09
22.07.08 Journal alert   2022.07.08

Institute for Basic Science KAIST Campus (E22) A202-1,
Department of Brain and Cognitive Sciences, Department of Bio and Brain Engineering, KAIST,
291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
Tel: +82-42-350-6513,6573, Fax: +82-42-350-6510

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