Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
-
values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
-
Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
you want to contribute to top quality medical research? Are you an enthusiastic and ambitious researcher with an interest in neurobiology and bioinformatics? We are searching for a postdoctoral fellow
-
responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
-
characteristics directly. The main responsibilities of the post holder are to develop and edit molecular simulations of different biologically relevant membrane chemistries, for example membranes with different
-
Applications are invited for a Postdoctoral Research Associate in Evolutionary Developmental Biology with a particular emphasis on the genetic basis of differences in organ size Drosophila
-
: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
-
inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical
-
cells and immune responses. Using cutting-edge single cell RNA sequencing, we study human and mouse brain tissues to identify how the disease starts, progresses, and leads to different outcomes. We aim
-
how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on