美国明尼苏达大学Health Data Science / Medical Inforamtics 方向招人
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美国明尼苏达大学Health Data Science / Medical informatics 方向求招Postdoc 或PhD,有没有感兴趣的同学,希望能处理医疗大数据(电子病历数据),有接近1百万人的数据集即将ready,着重于医院急诊,住院病人和重症医学方面Research,涉及到技术包括unsupervised learning clustering 和supervised learning, temporal data modeling, clinical note analysis, model fairness interpretability方面的分析):
We have openings for a PhD student or postdoc (available immediately until filled) at the University of Minnesota. Our research is centered on the development and application of novel, trustworthy machine learning (ML) and artificial intelligence (AI) solutions to address significant healthcare challenges and emerging biomedical problems. You will work with large-scale electronic health data including electronic health records, clinical notes, signals, or multi-omics data across various healthcare domains. Current University of Minnesota students who are interested in our research are encouraged to reach out. Additionally, we welcome visiting students from other universities who are keen to collaborate on our projects.
Requirements for PhD candidates
Strong enthusiasm and commitment to tackling practical healthcare issues using data science techniques.
Undergraduate or Master students in related disciplines.
Minimum language proficiency as required by the university (IELTS/TOEFL).
Programming experience with Python/R
Research experience in data science, machine learning, or healthcare-related topics is preferred. Candidates with publications are preferred.
Requirements for Postdocs
Strong dedication to solving practical healthcare problems through advanced data science techniques.
Ph.D. degree in biomedical informatics, biostatistics, data science, or related disciplines.
Strong programming skills and substantial experience in data science, and informatics in healthcare-related topics.
Demonstrated publication record, experience in teamwork, and strong communication skills in English.
Important Information
If you are interested in any position (Postdoc, PhD, Research Assistant, etc) with us, please fill out this form: forms.gle
Any questions can be sent to Dr. Feng Xie (1point3acres.com).
Please note that the review process may take time, and only shortlisted candidates will be contacted for further steps.
We have openings for a PhD student or postdoc (available immediately until filled) at the University of Minnesota. Our research is centered on the development and application of novel, trustworthy machine learning (ML) and artificial intelligence (AI) solutions to address significant healthcare challenges and emerging biomedical problems. You will work with large-scale electronic health data including electronic health records, clinical notes, signals, or multi-omics data across various healthcare domains. Current University of Minnesota students who are interested in our research are encouraged to reach out. Additionally, we welcome visiting students from other universities who are keen to collaborate on our projects.
Requirements for PhD candidates
Strong enthusiasm and commitment to tackling practical healthcare issues using data science techniques.
Undergraduate or Master students in related disciplines.
Minimum language proficiency as required by the university (IELTS/TOEFL).
Programming experience with Python/R
Research experience in data science, machine learning, or healthcare-related topics is preferred. Candidates with publications are preferred.
Requirements for Postdocs
Strong dedication to solving practical healthcare problems through advanced data science techniques.
Ph.D. degree in biomedical informatics, biostatistics, data science, or related disciplines.
Strong programming skills and substantial experience in data science, and informatics in healthcare-related topics.
Demonstrated publication record, experience in teamwork, and strong communication skills in English.
Important Information
If you are interested in any position (Postdoc, PhD, Research Assistant, etc) with us, please fill out this form: forms.gle
Any questions can be sent to Dr. Feng Xie (1point3acres.com).
Please note that the review process may take time, and only shortlisted candidates will be contacted for further steps.
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