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leaders in science. Our mentoring plan incorporates a variety of structured initiatives and resources tailored to support career development: weekly lab meetings, individual meetings, biannual career
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mentorship and values the opportunity to train future leaders in genetics and genomics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals and
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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with advanced medical and neuroscience training programs. Training: The postdoc will receive hands-on training in epilepsy research, including: Patient recruitment and consenting following IRB-approved
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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programs to bridge fundamental cancer biology with clinical investigation for the translation of basic discoveries into better therapeutics, treatments, or diagnoses. Compensation: Compensation
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Investigators at top economics programs. Ideal candidates will have experience and a track record developing research in one of two core research areas, Gender and Environment/Climate Change, along with solid
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offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of Computer Science, Data Science, and Economics. We are particularly interested
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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify