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. We are seeking highly motivated individuals who are passionate about science, learning and having fun. Candidates with a strong background in molecular and cellular biology, and/or experience in
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Application Materials: If you are passionate about reproductive biology and want to work in a highly collaborative and innovative environment, we encourage you to apply. To apply, please email the required
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research-practice partnerships and collaborations with community organizations. These partnerships provide fellows with opportunities to learn to collaborate with practitioners and policymakers to identify
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
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, EBV, HBV, HPV) and chemical biology trainees with a willingness and aptitude for learning new experimental systems. Our projects require an adaptable mix of molecular virology as well as protein
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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, statistical analysis of clinical trials, and all aspects of project leadership. This position will also include collaboration and supervision of project staff. Required Qualifications: Ph.D. or equivalent in a
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to foster translational research that bridges discoveries from bench to bedside and back, with the ultimate goal of improving patient care for all older adults, through collaboration, mentorship, and