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3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. These syndromes are associated with a high risk of psychiatric disorders, especially schizophrenia. Preference will be given to applicants who have obtained a PhD in developmental neuroscience, cell biology, or
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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relevant fields. Minimum Education: PhD Hours: 40 St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms
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contributes to multiple peer-reviewed publications. Participates in the preparation and submission of grant applications. Develop and propose innovative research ideas, including new methods for data analysis
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computational methods to analyze clinical data and samples, exploring how respiratory viruses and vaccines influence the development of immune responses. Respiratory infections, such as RSV, are the leading cause
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. Work directly with collaborators studying aged T cells. Minimum Education and/or Training: PhD. Special Skills, Knowledge, and Abilities: Mouse handling skills. Flow cytometry analysis of immune cells
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and/or Training: A doctoral degree (PhD, MD, or equivalent) in a relevant field. Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent
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currently being developed. The section will serve as a central competence centre for data science and data-driven methods for Earth system sciences. Your responsibilities: Develop data-driven methods
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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology