-
modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
-
well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
-
bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
-
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
-
biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
. The project is conducted in close collaboration with researchers in mathematics, ecology, and bioinformatics. The fellow will be offered affiliation and a workspace at IceLab – the Integrated Science Lab
-
specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed
-
new systems with bioinformatics, validate them in microbiological assays and then characterise the mechanisms of defence on the molecular level. Currently the lab is working on many (>10) novel, as-yet
-
-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality