Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
on the University website about being a Lund University employee: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data
-
on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
-
on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
-
, principal component analysis, analysis, analysis of kinship, trait analysis and metagenomic analysis (incl. analysis of pathogenic microorganisms). The bioinformatician is involved in maintaining, updating
-
barcoded transcription factor screening platform with single-cell readout [1] and aims to expand immune cell reprogramming beyond currently accessible cell types. 1. Ascic et al., Science 2024. You can read
-
-scale data analysis. The research group focuses on the neural mechanisms of associative learning and cerebellar function. The group is led by associate professor Anders Rasmussen, and currently has 1 PhD
-
, and biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an
-
biomarkers in body fluids. We are seeking a data scientist dedicated to clinical proteomics and biomarkers discovery and validation studies. This role will focus on building robust data management and analysis
-
–based studies for protein quantification and comparative analysis, to specialized applications in glycomics and glycoproteomics. We use Orbitrap and timsTOF mass spectrometers interfaced with LC systems
-
law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq