64 genetic-algorithm-computer-"UCL" Postdoctoral positions at Nature Careers in United States
Sort by
Refine Your Search
-
A postdoctoral associate position is available to study the molecular and circuit basis of sleep. We use sophisticated genetic approaches in Drosophila and mice to study the genes and circuitry
-
, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis
-
). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
-
activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
-
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program
-
algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features). Design robust evaluation
-
immunotherapies for pediatric tumors. Studies are focused on using genetic engineering approaches to not only render immune cells cancer specific, but also improve their effector function. Genetically modified
-
cell fate and circuit formation in developing Drosophila brains. The lab combines a variety of cutting-edge experimental and computational techniques including single-cell RNA and ATAC sequencing
-
A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
-
computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET