63 parallel-processing-bioinformatics "SciLifeLab " Postdoctoral positions at Yale University
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, neuroscience, bioinformatics, or a related field Strong background in either wet-lab experimental biology or computational/statistical genetics, with interest in developing complementary skills Demonstrated
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, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply. The position offers opportunities to publish
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from computational biology, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply. The position offers
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Qualifications We’re looking for someone with a PhD, MD, or MD/PhD (or related field such as genetics, immunology, computational biology, systems biology, or bioinformatics). The
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single cell genomics analysis for several projects including perturbational single cell RNA sequencing of patient tumor and immune cells and more traditional bioinformatics. In addition, a portion of
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send your application to [email protected] using the subject line “Bioinformatics Postdoc Applicant,” and including the following documents: Cover letter explaining your background and motivation for
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this devastating malignancy. Our lab is a multidisciplinary environment involving experts with backgrounds spanning oncology, immunology, bioinformatics, drug delivery, and microbiology. Our projects
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, scientific conferences, and through peer-reviewed publications. Qualifications Candidates should possess: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Molecular Biology, or
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, government, or industry. Qualifications: Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment Strong
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cancer models. Projects in the lab are highly interdisciplinary and involve: molecular biology (RNA biology), bioinformatics, data science, epigenetics, and systems biology. New approaches in the lab