- Risk predictive model for clinical outcomes
- casual representation learning for real-world data
- deep learning interpretation, fairness and robustness
- Regularly conduct computational experiments to execute algorithms on various
- Assist with new project development including literature review, study design.
- Work under general supervision but usually is given the latitude to make decision
- Design and/or implement AI methods, summarize findings, and generate study
- Write, edit or critique technical reports and/or publications describing research
- Communicate and present analytical results to researchers, faculty, and other
- A Ph.
- Strong programming skills in Python, Java, etc.
- Expertise in machine learning, neural networks, and deep learning
- Excellent writing and communication skills
- Highly motivated, ability to identify potential problems and develop solutions.
- Ability to function well in a fast-paced research environment, set priorities to
- Research experience in natural language processing on biomedical and/or
- Expertise in transformers, reinforcement learning, transfer learning
- Experience with leading projects within a research team
- Working knowledge of modern web service and/or software implementation
- Ability to work collaboratively with a diverse group of research scientists with
- Competitive wages, paid holidays, and generous time off
- Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
- Low-cost medical, dental, and pharmacy plans
- Healthcare and dependent care flexible spending accounts
- University HSA contributions
- Disability and employer-paid life insurance
- Employee wellbeing program
- Excellent retirement plans with employer contribution
- Public Service Loan Forgiveness (PSLF) opportunity
- Financial counseling services
- Employee Assistance Program with eight sessions of counseling at no cost
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Post-Doctoral Associate - Minneapolis, United States - University of Minnesota
Description
About the JobOverview
Department of Surgery (DOS, ) at the University of Minnesota is seeking two postdoctoral research associates to join a team working on
multiple research projects in the field of health data science, artificial intelligence and natural language process, computer vision in the Division of Health Data Science (HDS)
at the DOS. The position is an annually renewable professional academic appointment.
Duties/Responsibilities:
approach from among alternatives, determining how to best use available
resources
poster or written work summaries for display, panels, and other formats).
Qualifications
Required Qualifications:
Science, Computational Linguistics, Data Science, Artificial Intelligence, or a
related technical field.
Preferred Qualifications:
modeling on longitudinal data.
About the Program
Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for
advancing health care.
The Natural Language Processing / Information Extraction (NLP/IE) Program ) at the Institute for Health informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.
About the Department
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect.
To learn more about the Department of Surgery, please visit:
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning.
We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions.
You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.
To learn more about diversity at the U:
Employment Requirements
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About the U of M
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research.
Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St.
Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
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