Sort by
Refine Your Search
-
Program
-
Field
-
factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
-
tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
-
evolutionary trees, and performing downstream data analysis, including statistics and visualization, and writing scientific texts summarising results. Your work may also include teaching or other departmental
-
contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
-
://ngisweden.scilifelab.se/ ). Description of work You will contribute to the development and implementation of novel methods and technologies for genome, transcriptome and epigenome analysis, both in bulk and at single-cell
-
-der-valk/ ). We are looking for someone with a passionate interest in insect phylogeny and evolution, and with strong competence in de novo genome assembly and phylogenomic analysis. The successful
-
-arif/ Job Assignments The work primarily involves collecting and analysing publicly available transcriptomics (single-cell and bulk) datasets, including GTEx data. You will also develop an analysis
-
develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
-
are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples
-
of reference genomes, annotation, and characterization of transposable elements) with population genomics (such as variant calling and analyses of hybridization), and simulation-based approaches. This Postdoc