Sort by
Refine Your Search
-
processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
-
, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a facility belonging to SciLifeLab, part of a national infrastructure for research
-
research service in the comprehensive analysis of chemical contaminants and small molecules in human and environmental samples by target and nontarget mass spectrometry, also called chemical exposomics. Main
-
models. A multidisciplinary approach is expected, integrating microfabrication, cell component and biomaterial incorporation, advanced imaging and staining of specific biological features. You will be
-
perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
-
credits, or Mandatory requirement for English equivalent to English B/6 Experience in formulating lipid nanoparticles with mRNA via microfluidics Experience in sample preparation and data analysis from
-
. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
-
focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
-
Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based