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desirable. Basic computational analysis skills (e.g., R or Python for sequencing data) are a plus but not required. Candidates must be team-oriented, organized, and enthusiastic about collaborative science
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A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer Ideal candidates will have: • A Ph.D. in bioinformatics, computational biology, mathematics
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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, various cutting-edge experimental and computational approaches in the areas of functional genomics, cell biology, biochemistry, single-cell/spatial multi-omics, data mining, drug screening, and disease
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and
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: the NIH, Pew Biomedical Foundation, and the Cystic Fibrosis Foundation to develop novel approaches to engineer programmable transposons for clinical gene replacement therapy. The Kellogg lab is a highly
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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computational methods to analyze clinical data and samples, exploring how respiratory viruses and vaccines influence the development of immune responses. Respiratory infections, such as RSV, are the leading cause