四、联系方式
联系人:莫老师、张老师、胡老师
电 话:020-85223261
邮 箱:bddi.jnu@foxmail.com
地 址:广州市黄埔大道西601号 暨南大学第二文科楼10楼
研究所网站:https://bddi.jnu.edu.cn 附录:中美国际联合团队博士后招聘详情
The Division of Medical Informatics at the University of Kansas Medical Center (KUMC) is seeking a highly ambitious, independent and motivated individual with a passion in data-driven knowledge discovery for improving patient outcomes and care to join as a Postdoctoral Fellow. At KUMC, you will be part of a rapidly growing team developing informatics methods to further biomedical research (KUMC received the NIH Clinical and Translational Science Award in 2011 and our division is leading the Greater Plains Collaborative, a PCORnet Clinical Data Research Network uniting 12 medical centers across 9 US states; over 20 million patients as well as over 20 million claims beneficiaries). You will have the opportunity to work in close collaboration with clinicians, scientists, and healthcare systems with access to deep clinical data warehouses (e.g. electronic medical records (EMR), billing, claims, and over 50 million unstructured notes), capability for implementing AI-based clinical decision support systems in the EMR, and professional development resources such as grant writing workshops and clinical shadowing experiences.
The successful candidate will be part of an interdisciplinary research team focused on predictive modeling and actionable knowledge discovery with a special clinical focus on kidney disease. Required Qualifications:
· PhD in related fields including biomedical informatics, computer science, information science, data science, applied mathematics, (bio)-statistics, or physics
· Expert in one or more programming environments, including R, Python, SQL
· A track record of completed research projects with peer reviewed publications
· Excellent written and oral communication skills
· Expected to participate in both independent and collaborative projects Preferred Qualifications:
· Training in biomedical informatics, machine learning, deep learning, and data science
· Experience with EMR or claims data extraction, cleaning, and analysis
· Experience with Natural Language Processing (NLP)
· Data integration such as geocoding to incorporate social determinants of health or other sources to inform predictive and explanatory models
· Ability to communicate effectively with diverse stakeholders including clinicians, IT staff, basic scientists, and translational researchers
Specific responsibilities and research projects will be tuned to the career goals, technical strengths, and interests of the applicant. How to Apply:
Interested applicants should submit a CV, contact information for 2-3 references, and a brief career goal statement through the KUMC job posting site at https://jobs.kumc.edu/hr/postings/26667. For more details, please contact Dr. Mei Liu at meiliu@kumc.edu.
暨南大学大数据决策研究所2020年博士后招聘启事 一、研究所招聘情况
暨南大学大数据决策研究所是大学的直属研究所,主要从事大数据人工智能医疗研究。研究所依托省大数据重点平台,整合暨南大学国家级重点学科资源包括金融学、临床医学和药理学等居全球ESI前1%的优势学科、具有大数据交叉学科优势的优秀研究团队。团队与美国、欧洲等大学、中山大学国家数字家庭工程技术中心、中山大学附属第三医院、暨南大学附属第一医院、乐心科技、巨鼎健康、丰德科技、宇闻科技等机构协同攻关,近年获批主持国家自然科学基金重大研究计划、广东省重大科技专项、广东省工程技术研究中心等项目。中心包括院士、国家杰青等著名学者。团队在健康大数据及糖尿病医学领域顶级期刊Lancet、Diabetes Care、Nature Bio、Journal of the American Medical Informatics Association (JAMIA)、Decision Support Systems等国际顶级期刊发表论文近40篇,获国家科技奖2项,主持编写《中国2型糖尿病防治指南2013版》,制订相关国、省和行业数据标准10项,申请相关专利14件、研究实力居领域领先水平。2020年研究所计划招聘博士后若干名,优秀人才人数不限。
四、联系方式
联系人:胡老师、莫老师、张老师
电话:020-85223261
邮箱:bddi.jnu@foxmail.com(人才引进专用邮箱,所长亲自处理)
地址:广州市黄埔大道西601号 暨南大学第二文科楼10楼
研究所网站:https://bddi.jnu.edu.cn
暨南大学大数据决策研究所2020年博士研究生招生简章 一、研究所招聘情况
暨南大学大数据决策研究所是大学的直属研究所,主要从事大数据人工智能医疗研究。研究所整合暨南大学国家级重点学科资源和居全球ESI前1%的优势学科。目前研究所引进院士、青年国家高级人才等层次人才,已建成省级大数据重点平台,近三年来承担智慧医疗方面的国家重大研究科技计划项目、广东省重大专项和产学研项目等近30个项目,合作单位包括美国、欧洲等大学、中山大学国家数字家庭工程技术中心、中国移动、中山大学附属第三医院、暨南大学附属第一医院、巨鼎健康、宇闻科技、乐心科技、丰德科技等机构建立协同攻关合作。团队在健康大数据及糖尿病医学领域顶级期刊Lancet、Diabetes Care、Nature Bio、Journal of the American Medical Informatics Association (JAMIA)、Decision Support Systems等国际顶级期刊发表论文近40篇,获国家科技奖2项,主持编写《中国2型糖尿病防治指南2013版》,制订相关国、省和行业数据标准10项,申请相关专利14件、研究实力居领域领先水平。
大数据决策研究所是暨南大学一支富有生命力的创新团队,欢迎积极上进的年轻研究生加入队伍。团队我们的志愿是“作育英才、发现知识、利益民生”,即团队的人才培养力达德才兼备(英才),知识发现力达国际先进(知识),研产结合力达利益民生(民生)。团队会给你提供足够大平台来展示你的能力,你在团队工作的时间将是一个新的开始,是你心性和才能提高最快的一段时间,相信你的人生会在大数据决策研究所绽放异彩。大数据决策研究所欢迎你的加入!