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俄亥俄州立大学OSU-招AI/ML方向全奖博士(Spring/Fall 2024),博士后(immediately)

 
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招生
学校名称: ohiostate
专业: CS
入学年度: 2024
入学学期: Spring
导师个人主页: https://u.osu.edu/ning.104/

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Openings Available at NingLab, OSU
The NingLab (http://go.osu.edu/ninglab) at the Biomedical Informatics (BMI) Department and Computer Science and Engineering (CSE) Department, The Ohio State University, provides unique opportunities and environment for the development of cutting-edge AI/ML methodologies and the application of the methods in high-impact, real-life medical and health problems. The NingLab focuses on Artificial Intelligence (AI), particularly generative AI (genAI), for Science (AI4Science), with applications in drug discovery (e.g., drug design via 2D molecular graph generation and 3D molecule shape generation, peptide generation), healthcare and medicine (e.g., drug repurposing and early onset detection for Alzheimer’s diseases, electronic health record retrieval, cancer drug selection), and Recommender Systems (e.g., sequential recommendation, recommendation based on LLMs). 
NingLab currently (as of Sept 1, 2023) has multiple openings for graduate students (Ph.D./M.S.), postdocs, and research staff. If interested, please contact Dr. Ning (ning.104@osu.edu) with an updated CV and representative publications, if available. Applicants for Ph.D. positions please also enclose undergraduate transcripts.
Some quick facts about OSU: (1) #49 in National Universities; (2) #16 in Top Public Schools; and (3) #24 in Computer Science
Some quick facts about Columbus, OH (14th-most populous city in the U.S.)
About the PI:
Dr. Ning is a Professor in the BMI Department and in the CSE Department at OSU. She is the Section Chief of AI in Digital Health, Clinical Informatics, and Implementation Science at BMI. She received her Ph.D. degree from the Computer Science & Engineering Department, University of Minnesota (UMN), Twin Cities, in 2012; and her M.S. degree in Computer Science, and M.S. degree in Statistics from the School of Statistics at UMN. She received her B.S. degree in Computer Science from the Chu Kechen Honors College (an elite college), Zhejiang University, China. She was a researcher at the Autonomic Management Department, NEC Labs America in 2012-2014, and a tenure-track Assistant Professor at the Computer and Information Science Department (a Purdue Ph.D. program), Indiana University – Purdue University Indianapolis (IUPUI) in 2014-2018.
Ph.D. students
NingLab is seeking 4 Ph.D. students for research on AI4Science, starting as early as Spring 2024, with full Graduate Research Assistantship support available for 5 years. The students will help develop novel AI technologies for (1) omics analysis and drug repurposing for Alzheimer’s Disease (AD); (2) electronic health record analysis and mobile health for AD; (3) recommender systems; and (4) genAI for drug design.
Ideal candidates should be self-motivated and determined. They are expected to have a strong background in Computer Science and Engineering. Extensive programming experience and prior research experience are preferred. Knowledge and experience in Biology, Chemistry or Medicine are preferred but not required.
The Ph.D. students will be enrolled in the Computer Science and Engineering Department. (i.e., upon graduation, they will be granted CSE degrees). If the students are already enrolled in the OSU CSE programs, please feel free to schedule a meeting with Dr. Ning on campus.
Postdocs
NingLab is seeking 2 postdocs, starting immediately until the positions are filled. The postdoc candidates are expected to have a Ph.D. degree in Computer Science or related disciplines (e.g., Electrical Engineering), are able to conduct research in AI/ML (e.g., doing research on deep learning) and have strong communication skills and leadership. The postdoc candidates are also expected to be highly self-motivated and have a clear career goal set in mind. The postdocs will assist PI Ning on the methodology development in the current projects (e.g., drug repurposing for AD, predictive analysis for AD, genAI for drug design, recommender systems). Compensation and benefits will be very competitive.
Research Staff
NingLab provides full-time research staff positions. The candidates should have at least MS degrees in Computer Science or related disciplines (e.g., Electrical Engineering), and have research experience in AI/ML. Please contact Dr. Ning (ning.104@osu.edu) for more information.
Internship
NingLab provides internship opportunities for MS students and Ph.D. students. Starting dates and durations are very flexible. Please contact Dr. Ning (ning.104@osu.edu) for more information.
M.S. students
NingLab is providing hourly-paid positions for M.S. students doing theses. The students are expected to have sufficient programming skills in python, have good communication skills and are dedicated to the projects assigned (e.g., deliver solid results on time). The students are also expected to have a reasonable background in AI/ML. NingLab is also hiring M.S. students with a valid OPT status as research staff.
 

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方向很接近,mark一下,不过还没语言成绩,我可以先发邮件过去交流下嘛
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 楼主| 微信用户_fkg2d 2023-8-29 10:27:23 来自APP | 只看该作者
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双鬓如霜的生姜 发表于 2023-08-28 19:06:31
方向很接近,mark一下,不过还没语言成绩,我可以先发邮件过去交流下嘛
可以的,osu语言要求不高
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leob 2023-9-4 05:55:11 来自APP | 只看该作者
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老师已经给您发邮件了,我对推荐系统的应用方向比较感兴趣,邮箱是pdflin@ucdavis.edu,谢谢🙏
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请问纯文科背景有机会吗 修过不少商科大类课数学核心课没有
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微信用户_c3ch9 发表于 2023-09-09 01:57:02
请问纯文科背景有机会吗 修过不少商科大类课数学核心课没有
线下在做前端工作,经验不满半年。
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ms_y 2023-9-10 02:50:26 | 只看该作者
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老师您好,我们的方向还挺接近的,我感兴趣的方向也是AI4SCIENCE和AI for healthcare,做过一个关于delirium的project,已经发邮件询问了,邮箱结尾是@utoronto.mail.ca
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TomQu 2023-9-28 23:40:44 | 只看该作者
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本帖最后由 TomQu 于 2023-9-28 23:44 编辑

老师您好,我对graph learning 和 multimodal learning相关研究很感兴趣,非常有兴趣跟您从事相关技术研究及其在health and medical 领域的应用。以前主要做的是相关工作在智能交通系统(ITS)中的应用,在ITS领域的top journals and conferences (IEEE T-ITS,  IEEE ITSC等)有一些成果发表,不知是否合适,已经发邮件给您。
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跟老师聊过,很温暖很supportive的人,顶~
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Jieyayaya 2023-12-10 06:50:25 | 只看该作者
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做过generation task,感觉方向还挺合适的。教授没回邮件是觉得不合适吗?邮件xx2266@nyu.edu结尾
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