| 查看: 1205 | 回复: 0 | |||
[交流]
美国弗吉尼亚理工(Virginia Tech) ECE 机器学习/人工智能/数据科学 2022Fall 全奖博士
|
|
The Yu lab at the Bradley Department of Electrical and Computer Engineering at Virginia Tech currently has 6 immediate openings for doctoral graduate research assistantship (GRA) in the areas of machine learning, artificial intelligence, and data science, with applications to biomedical and especially brain-related problems. The electrical and computer engineering graduate program at Virginia Tech is currently ranked the top 18th in the US, with 81 full‐time tenured or tenure‐track faculty members and 4 members of the National Academy of Engineering. More details about our department can be found at https://ece.vt.edu/about/metrics.html. We are seeking highly qualified and motivated candidates who are interested in truly scientific research career (extending math and engineering into life sciences) and inspired by his/her own curiosity about the process of discovery. Our research is focused on the frontiers in: (1) statistical modeling and pattern analysis of genome-wide high throughput genomic and molecular data; (2) modeling and tracking of biological objects in microscopic video; (3) quantification and analysis of brain activity based on time-lapse microscopic functional imaging data; and (4) mathematical modeling of astrocyte’s functional role in neural circuits. Candidates are expected to have degree in electrical/electronic engineering or closely related areas, e.g., computer science, applied mathematics, automation, biomedical engineering. If you are interested, please submit your application before Jan.15th, 2022 at the website, https://graduateschool.vt.edu/admissions/how-to-apply.html. Feel free to contact Prof. Guoqiang Yu at yug@vt.edu to express your interest and get more information. The Yu lab is located at one of the three largest biomedical research clusters in the US (Metropolitan Washington, DC). The Yu lab is an official member of NIH BRAIN Initiative Consortium and NIH Data Science Consortium. We have established active collaborations with JHU, Harvard, Stanford, UCSF, UC Davis, Duke, University of Michigan, Salk Institute, and HHMI Janelia Research. We not only apply the existing computational techniques to solve biomedical problems, but also develop advanced machine learning methods inspired by the cutting-edge problems. You can have a look at our work at GitHub webpage, https://github.com/yu-lab-vt. A few representative recent papers from our group are listed below. AQuA, published at Nature Neuroscience, link: https://www.nature.com/articles/s41593-019-0492-2 CINDA, published at IEEE TPAMI, link: https://ieeexplore.ieee.org/document/9204816 muSSP, published at NeurIPS, link: https://proceedings.neurips.cc/paper/2019/file/b1d10e7bafa4421218a51b1e1f1b0ba2-Paper.pdf SynQuant, published at Bioinformatics, link: https://academic.oup.com/bioinformatics/article/36/5/1599/5584198 ConvexVST, published at ICML, link, https://proceedings.mlr.press/v139/wang21p.html |
回复此楼» 猜你喜欢
售SCI一区文章，我:8.O.551.O.5.4,科目全,可伽急
已经有3人回复
-
售SCI一区文章，我:8O5.5.1.O5.4,科目全,可伽急
已经有3人回复
-
售SCI文章，我:8O.5.5.1O.54,科目全,可十急
已经有4人回复
-
售SCI一区T0P文章，我:8O.55.1.O.54,科目全,可伽急
已经有4人回复
-
怎么看青基中了没有啊
已经有6人回复
-
国社科又开始会评了，不知道这次命运如何
已经有11人回复
-
售SCI一区文章，我:8.O.55.1.O.54,科目齐全,可伽急
已经有3人回复
-
售SCI文章，我:8O.5.5.1O.54,科目全,可十急
已经有3人回复
-
有多少人是今天查系统知道结果的？
已经有19人回复
-
基金未中，这种答复是模板吗？
已经有7人回复
投票:
10