Air Force Medical University

Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various research areas represented at NYUAD. The successful applicant will also receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a curriculum vitae with a full publication list, a research statement, a transcript, and at least two letters of reference, all in PDF format. Shortlisted candidates will be interviewed twice. In the first interview, the candidate will give a talk summarizing earlier research. The second interview will be to discuss a research project in collaboration with Mostafa Sabri around the aforementioned topics. Candidates are advised to reflect upon such collaborations and include them in the research statement before applying. The duration of the postdoc is for 2 years, with a probation period of 6 months. The starting date is flexible but most likely to be in Fall 2025. If you have any questions, please email Mostafa Sabri at mostafa.sabri@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Ref.: 534928 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 534928), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images and genomics data. Enquiries about the duties of the post should be sent to Dr. Maximus Yeung at mcfyeung@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until June 30, 2026, or until the posts are filled, whichever is earlier.

Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against experimental and monitoring data Postdoctoral Associate Employment at NYUAD: The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu. Applications may be submitted on https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.