32 algorithms-phd-"St"-"St" Postdoctoral positions at Nature Careers in United States
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative
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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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). The successful candidate will have a recent PhD in molecular biology or neuroscience and a track record of first-class science demonstrated by first-author peer-reviewed scientific articles. Expected experience is
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analyzing data from genomic experiments such as RNA-seq, ChIP-seq, CUT&RUN is required. Candidates should have a PhD (or equivalent) degree and must have at least one first-author peer-reviewed publication
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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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://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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We are seeking a highly motivated individual for a cross-disciplinary post-doctoral position in the laboratories of Thad Stappenbeck, MD/PhD and Christine O’Connor, PhD at the Cleveland Clinic