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for an endorsement letter (max 1 page) from the faculty sponsor. Qualifications Applicants should have a recent (within three years at the time of application) PhD or should be a 2025-degree candidate, and they need
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targeting serious mental illness and its etiology. A doctoral degree in clinical or counseling psychology is required (PhD or PsyD). Ideal candidates must have a strong interest in psychosis and a record of
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have a PhD or should be a 2025-degree candidate, and they need to have documentation of degree completion by the time they start. Application Instructions Applicants should submit a cover letter, a short
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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
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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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projects, we have access to large datasets including the Million Veteran Program and the Psychiatric Genomics Consortium. The ideal candidate should hold an MD or PhD, and have a strong background in human
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are open to those with previous research backgrounds acquired during PhD or MD education. An ideal candidate would have an interest in psychiatry and/or related mental-health research. Excellent
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Research Skills: Proficiency in quantitative research methods and statistical software (e.g., SPSS, Stata, R). Publications: A demonstrated track record of academic publications and research outputs
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independently as well as in a team setting. We prioritize mentorship, including frequent formal and informal meetings with the PI, the substance of which will be guided by professional and scientific goals