51 algorithms-phd-"Prof"-"Prof" Postdoctoral positions at Nature Careers in United States
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
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, molecular biology and biochemistry, immunofluorescence, super-resolution microscopy, calcium imaging, and surgical procedures. Performs other duties as assigned. Qualifications PhD or MD in Physiology or a
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inquiry, and an ability to link fundamental science to real-world applications. The ideal candidate will also have: a PhD degree in immunology, nanotechnology, biotechnology, biomedical/chemical engineering
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. The most recent methodological research of the group includes algorithms for cell type deconvolution, high-resolution purification, and integration of single cell multi-omics data. This postdoctoral fellow
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://as.nyu.edu/biology/directory.fei-li.html This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
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the mechanisms of neurovascular survival during oxidative stress. Qualifications EDUCATION: PhD or MD. Proficiency in vascular physiology or a related field is required. EXPERIENCE: Experience in molecular biology
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. Qualifications PhD, MD, DO, or equivalent degree. Education and research experience in the areas of outcomes research. Successful applicants will have demonstrated success in research, scholarship, and/or grant
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awards such as the NIH/NCI K99/R00 Pathway to Independence Award and mentoring recipients of the NIH/NCI F30 Predoctoral MD/PhD Fellowships. The selected candidate will receive personalized mentorship in