24小时热门版块排行榜

>论坛更新日志 (3813)
>虫友互识 (505)
>文献求助 (334)
>导师招生 (199)
>休闲灌水 (127)
>考博 (120)
>硕博家园 (101)
>论文投稿 (83)
>论文道贺祈福 (75)
>基金申请 (64)
>博后之家 (63)
>考研 (63)
>公派出国 (62)
>教师之家 (47)
>找工作 (37)
>攻关文献(高奖励) (29)

返回列表

【有奖交流】积极回复本帖子，参与交流，就有机会分得作者 S12021138 的 2 个金币，回帖就立即获得 1 个金币，每人有 1 次机会

S12021138

新虫 (正式写手)

应助: 2 (幼儿园)
金币: 659.1
帖子: 812
在线: 160.4小时
虫号: 3200334

[交流] 都柏林城市大学，博士职位，头部生物力学方向

Universtiy: Dublin City Universtiy, Ireland
Title: Development of machine learning tools to predict pathological sequelae of traumatic brain injury
Supervision Team: David MacManus, DCU (Primary Supervisor) / Caitríona Lally, TCD (External Secondary Supervisor) / David Loane, TCD (Additional Supervisory Team Member)
Application deadline: June 20
Aplication link: https://d-real.grantplatform.com/
Description: Traumatic brain injuries (TBI) are one of the leading causes of death and disability worldwide. Currently, there is a huge gap in diagnostic and prognostic technologies for TBI likely due to its multiple biological and biomechanical aspects which can cause different neurological pathologies, impairments, and deficits in people. This multifaceted nature of TBI makes it difficult to predict the pathological outcomes using existing technologies. Indeed, it remains difficult to not only diagnose certain TBIs e.g., concussion, but it is also difficult to determine an accurate prognosis. Therefore, the aim of this research is to develop state-of-the-art computational tools to predict TBI pathologies and provide accurate diagnoses and prognoses. This will be achieved by using TBI pathology data (e.g., MRI) with state-of-the-art computer models of the brain to develop novel computational tools utilising machine learning to determine accurate diagnoses and prognoses of TBI from head impacts e.g., sports-related head impacts, falls.

回复此楼