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opportunities at Yale. This includes seminars from internationally renowned researchers and ‘Meet the Speaker’ lunches, and professional development and networking activities including via the Yale Postdoctoral
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the direction and supervision of Prof. Lucila Ohno-Machado, we seek to appoint full-time Postdoctoral Associates (two positions) in the areas of privacy-preserving health data sharing, artificial neural network
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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Postdoctoral Associate in Computational Neuroscience at Yale The Post-Doctoral Associate will develop predictive, gene-regulatory networks linked to Parkinson’s and other neurological diseases in
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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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associates will have the chance to build relationships across the TBC at Yale SOM alumni network, which will afford them greater opportunities to engage in research that meaningfully impacts practice
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at national/international conferences Access to a broad network of collaborators at Yale and beyond Qualifications We welcome applicants with backgrounds in either experimental biology, computational biology
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professional network, preparing for leadership roles in academia, policy, or industry. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information
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in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection
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pressures. · Analytical Skills: Ability to conceptualize and conduct complex analyses that involve different typs of data (clinical, genetic, neuroimaging) · Capacity for independent work