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wu_2021

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[交流] 医学影像,机器学习,安德森癌症中心

We are looking for postdoctoral researcher in the areas of medical image analysis and machine learning to join a newly established research lab (https://www.mdanderson.org/research/departments-labs-institutes/labs/wu- laboratory.html ). We have published original research in top-ranked journals, including Nature Machine Intelligence, Radiology, Clinical Cancer Research, and Modern Pathology. The research themes are centered on:
1. develop innovative imaging biomarkers to characterize cancer phenotypes;
2. integrate images with multi-omics data across multiple scales to decipher cancer
mechanisms;
3. translate imaging biomarkers to improve clinical practice.

We are looking for candidates who are enthusiastic about cancer research, self- motivated, and determined to kill cancer. Candidates from diverse backgrounds are encouraged to apply. This position requires skills in advanced image analysis (e.g., image segmentation, image registration, and image-based feature extraction), machine learning, and data science. Top applicants are required to have dedicated training/ research in machine learning/deep learning, and proficiency in Python and MATLAB. The candidates must be fluent in written/spoken English and good at presenting research accomplishments.

We will offer meaningful projects at the forefront of cancer research, where the successful candidates will work in a highly collaborative and diverse, multidisciplinary team. They will have the opportunity to closely work with world-class physician- scientists, including Dr. John Heymach (https://scholar.google.com/citations?hl=en&user=OpZrhR8AAAAJ&view_op=list_works &sortby=pubdate ), Dr. Joe Chang (https://faculty.mdanderson.org/profiles/joe_chang.html ) to name a few. We are dedicated to maintaining a pleasant working environment, mentoring young trainees, and ensuring your career success.

Candidates should submit the following materials electronically to Dr. Jia Wu. Please email JWu11@mdanderson.org the following:
1. Acurrentcurriculumvitae.
2. Twopublications.
3. The name and contact information of two references who are familiar with your
work.
Review of applications will begin immediately and continue until the position is filled. This is an initially 1-year position that is extendable to 3 years, conditional on performance. The salary will be set according to the NIH postdoctoral stipend guidelines.

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