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focused on strengthening the capacity of landholders, practitioners, and decision-makers to manage tropical forest landscapes. The overall goal is to equip participants with the knowledge and skills needed
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doctoral degree in genetics/epigenetics, statistical genetics, computer science and bioinformatics, or other relevant areas at the time the position begins • Excellent organization and project management
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activities in which the postdocs could participate, including a Data Intensive Social Science Center, a center for Biomedical Data Science, and the Schmidt Program on Artificial Intelligence, Emerging
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/assistance when needed. • They should demonstrate strong initiative and ability to problem-solve independently and learn new software programs, as well as strong organizational and time management skills
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postdoctoral researcher to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans work with structured and unstructured data in the electronic health
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letters of recommendation. For questions, contact Joanna Carmona, Program Manager at Joanna.carmona@yale.edu
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research funds ($7,000/yr), plus health-care benefits and limited funds for relocation expenses. Applicants should contact a sponsor in the Department to discuss potential research projects and to arrange
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awarded for one year, subject to renewal for a maximum of two years, providing a stipend ($68,000/yr) and research funds ($7,000/yr), plus health-care benefits and limited funds for relocation expenses
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present data. The ideal candidate will have strong programming experience (R, Python, bash); working knowledge in Linux/Unix environments; experience in the analysis of large datasets; and a solid
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capacity to work both collaboratively and independently ● Strong strategic, analytical, and problem-solving skills ● Strong interpersonal and project management skills to facilitate timely and