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using Yale SPORE lung cancer biobank material Publish first-author papers, present at meetings, and help mentor junior lab members Required qualifications: PhD, MD, or MD/PhD in cell/molecular biology
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: Postdoctoral Compensation Qualifications: • PhD, MD, or equivalent degree in microbiology, mycology, molecular biology, biochemistry, pharmacology, or related disciplines • Strong publication record and
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looking for inquisitive, creative, and passionate researchers with a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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Qualifications · PhD or MD/PhD in neuroscience, molecular/cell biology, bioengineering, or a related field. · Demonstrated experience in extracellular vesicle exosome biology and advanced statistical analysis
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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Veteran Program and the Psychiatric Genomics Consortium, as well as other large biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in
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research. Knowledge and/or experience of lipid analyses is advantageous but not necessary. Candidates with less than two years of previous experience are preferred. Please contact Chris Burd by e-mail
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/benefits-summary . This is not a remote opportunity. This position is located at the Child Study Center on the campus of Yale School of Medicine in New Haven, CT. In accordance with the university’s post-doc
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in