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Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging, Bioimaging Sciences Position Description: Join an exciting effort to develop a low-field, low-cost, MRI...
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School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary
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program of training will also include both attendance at departmental workshops and seminars. They will present their results at weekly Fredericks Lab meetings, join in our weekly journal club, and be
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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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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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for up to four Postdoctoral Associates for an appointment period from July 1st, 2025 – June 30th, 2027. Inaugurated in the 1999-2000 academic year, the Postdoctoral Associates Program at the Council
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successful candidates are expected to begin their program at Yale between July 1 and December 31, 2025. Questions regarding the application process can be addressed to Laura Myer, Chair’s Assistant (laura.myer
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/157824. The deadline for receipt of all application materials is January 15, 2025, and successful candidates are expected to begin their program at Yale between July 1 and December 31, 2025. Questions
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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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the rigorous Wurtele Gallery Teacher training program and learn from museum educators about art-based pedagogies and the Gallery’s global collections. A key project of the fellowship will be to help develop