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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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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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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills
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science, building and evaluating tools to support students, teachers, and schools to thrive. We do this by conducting research on the science of emotions and emotional intelligence, evaluating programming
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disorder, suicidality, substance use disorders, depression and anxiety, and many related psychiatric traits. We have work based in the uniquely-informative Million Veteran Program dataset, and also make use
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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year at Yale in dual affiliation with the Yale Child Study Center and the Yale Center for Brain and Mind Health (CBMH). Originally rooted in clinical psychological science, the Cha Lab strives to embody
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The Ishizuka / Olino Lab at Yale Cancer Center seeks creative and driven scientists to lead projects within the Lab. The candidate should have a strong background in biology, with a strong interest
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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical